COLING-2016: Program of the Main Conference
December 13
9:00-9:30 Opening (Chair: Nicoletta Calzolari)
Opening Address
Makoto Nagao
9:30-10:30 Invited talk 1 (Chair: Yuji Matsumoto)
Universal Dependencies -- Dubious Linguistics and Crappy Parsing?
Joakim Nivre (Uppsala University)
Universal Dependencies is a framework for cross-linguistically consistent treebank annotation that has so
far been applied to over 50 languages. It was developed primarily to support multilingual parsing
research, but the resources have proven useful for a wide range of studies that were not foreseen
originally, including research on language typology. A basic design principle in Universal Dependencies
is to give priority to grammatical relations between content words, which are more likely to be parallel
across languages, and to treat function words essentially as features of content words. This principle has
been criticized both for being incompatible with theoretical linguistics, which tend to treat function words
as syntactic heads, and for being suboptimal as a representation for dependency parsing, where higher
accuracy is often observed with function words as heads. I will argue that both of these criticisms rest on
a misinterpretation of the syntactic representations, and I will show that an alternative interpretation iscompatible with both sound linguistics and improved parsing technology.
11:00-12:30 Oral (3 x 4 sessions)
1-A: Syntactic and
Semantic Parsing,Grammar Induction I(Daisuke Kawahara)
Rooms

Conference Hall

11:00 – 11:30

Boosting for
Efficient Model
Selection for
Syntactic Parsing
Rachel Bawden andBenoît Crabbé(#861)

1-B: Natural
Language
Generation,
Summarization I(Hiroya Takamura)
1202

1-C:
Applications I(Tim Baldwin)

A RedundancyAware Sentence
Regression
Framework forExtractive
Summarization

CATENA:
CAusal andTEmporalrelationextraction from
NAturallanguage texts

Pengjie Ren, Furu
Wei, Zhumin CHEN,
Jun MA and Ming
Zhou

1008

Paramita Mirza
and Sara Tonelli

1-D: Resources,
Software, Tools &Under-resourced
languages I(Nancy Ide)
1009
Expandingwordnets to new
languages withmultilingual sense
disambiguation
Mihael Arcan, John
Philip McCrae andPaul Buitelaar(#483)(#68)
11:30 – 12:00

A Universal
Framework for
Inductive Transfer
Parsing acrossMulti-typed
Treebanks(#223)
Generating Video
Description using
Sequence-tosequence Modelwith Temporal
Attention

Forecasting
Word Model:
Twitter-based
Influenza
Surveillance andPrediction

A Correlational
Encoder Decoder
Architecture for
Pivot Based
Sequence
Generation

Jiang Guo, Wanxiang
Che, Haifeng Wang
and Ting Liu(#975)

Natsuda Laokulrat,
Sang Phan, Noriki
Nishida, RaphaelShu, Yo Ehara,
Naoaki Okazaki,
Yusuke Miyao and
Hideki Nakayama

Hayate ISO,
Shoko
WAKAMIYA andEiji ARAMAKI(#125)

Amrita Saha,
Mitesh M. Khapra,
Sarath Chandar,
Janarthanan
Rajendran andKyunghyun Cho(#467)

12:00 – 12:30

Grammar induction
from (lots of) words
alone
John K Pate andMark Johnson(#1040)An Improved
Phrase-based
Approach to
Annotating andSummarizing
Student Course
Responses(#1008)

Task-Oriented
Intrinsic
Evaluation of
Semantic
TextualSimilarity

Wencan Luo, Fei Liu
and Diane Litman

Nils Reimers,
Philip Beyer and
Iryna Gurevych(#303)(#173)

Zero-resource
Dependency
Parsing: Boosting
Delexicalized
Cross-lingual
Transfer with
Linguistic
Knowledge
Lauriane Aufrant,
Guillaume
Wisniewski andFrançois Yvon(#618)

14:00-16:00 Oral (4 x 4 sessions) + poster (26)2-A: Machine
Learning for NLP I(Trevor Cohn)

2-B: Morphology,
Segmentation
Tagging, Chunking
I(Mamoru Komachi)

2-C: Natural
Language
Generation,
Summarization II(Udo Hahn)

Rooms

Conference Hall

1202

1008

14:00 – 14:30

Improvinghistorical spellingnormalization withbi-directional
LSTMs and multitask learning

Label Embeddingfor Zero-shot Finegrained Named
Entity Typing

Exploring Text
Links forCoherent MultiDocument
Summarization

Marcel Bollmann
and Anders
Søgaard

Yukun Ma, Erik
Cambria and SA
GAO(#136)(#554)

Xun Wang,
Masaaki Nishino,
Tsutomu Hirao,
Katsuhito Sudohand Masaaki
Nagata(#1016)

14:30 – 15:00

Deceptive Opinion
Spam Detection

The Role ofContext in Neural

Syntactic
realization with

2-D: Speech
Recognition, TextTo-Speech, Spoken
Language
Understanding(Kristiina Jokinen)
1009
Exploiting
Sentence andContext
Representations in
Deep Neural
Models for Spoken
Language
Understanding
Lina M. Rojas
Barahona, Milica
Gasic, Nikola Mrkšić,
Pei-Hao Su, Stefan
Ultes, Tsung-Hsien
Wen and Steve
Young(#176)
Predictive
Incremental

Using Neural
NetworkMorphological
Disambiguation

Yafeng Ren and
Yue Zhang

Qinlan Shen, Daniel
Clothiaux, Emily
Tagtow, Patrick
Littell and Chris
Dyer(#127)

data-drivenneural treegrammars
Brian McMahan
and Matthew
Stone

Parsing Helps
Language Modeling
Arne Köhn and Timo
Baumann(#686)(#1104)15:00 – 15:30

Integrating Topic
Modeling with
Word Embeddings
by Mixtures ofvMFs
Ximing Li, Jinjin
Chi, Changchun Li,
Jihong Ouyang andBo Fu(#321)
Asynchronous
Parallel Learning
for Neural
Networks andStructured Models
with Dense
Features

Abstractive News
Summarization
based on Event
Semantic Link
NetworkA Neural Attention
Model for
Disfluency
Detection

Wei Li, Lei He and
Hai Zhuge

Shaolei Wang,
Wanxiang Che andTing Liu(#415)(#811)A General
Optimization
Framework forMulti-Document
Summarization
Using Genetic
Algorithms andSwarmIntelligence

EMPTY

Xu Sun(#1151)

15:30 – 16:00(#131)
Bayesian
Language Model
based on Mixtureof Segmental
Contexts for
Spontaneous
Utterances with
Unexpected
Words

An Empirical
Exploration of Skip
Connections for
Sequential Tagging
Huijia Wu, Jiajun
Zhang andChengqing Zong(#930)

Ryu Takeda andKazunori Komatani

Maxime Peyrard
and Judith EckleKohler(#207)(#547)
Posters (26): 12F Foyer
Morphology, Segmentation, Tagging, Chunking
1. Detecting Sentence Boundaries in Sanskrit Texts
Oliver Hellwig(#46)
2. Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling
Annotation for Chinese Language
Mo Shen, Wingmui Li, HyunJeong Choe, Chenhui Chu, Daisuke Kawahara and Sadao Kurohashi(#300)
3. Attending to Characters in Neural Sequence Labeling Models
Marek Rei, Gamal Crichton and Sampo Pyysalo(#349)
4. A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging

Nina Zhou, AiTi Aw, Nattadaporn Lertcheva and Xuancong Wang(#417)
5. Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging Tobias
Horsmann and Torsten Zesch(#534)
6. Data-Driven Morphological Analysis and Disambiguation for Morphologically Rich
Languages and Universal Dependencies
Amir More and Reut Tsarfaty(#940)
7. Automatic Syllabification for Manipuri language
Loitongbam Gyanendro Singh, Lenin Laitonjam and Sanasam Ranbir Singh(#1116)
Speech Recognition, Text-To-Speech, Spoken Language Understanding I
8. Learning to Distill: The Essence Vector Modeling Framework
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen and Hsin-Min Wang(#234)
9. Continuous Expressive Speaking Styles Synthesis based on CVSM and MR-HMM
Jaime Lorenzo-Trueba, Roberto Barra-Chicote, Ascension Gallardo-Antolin, Junichi Yamagishi
and Juan M Montero(#245)
10. An Automatic Prosody Tagger for Spontaneous Speech
Monica Dominguez, Mireia Farrús and Leo Wanner(#738)
11. Frustratingly Easy Neural Domain Adaptation
Young-Bum Kim, Karl Stratos and Ruhi Sarikaya(#867)
Syntactic and Semantic Parsing, Grammar Induction
12. A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu
Riyaz A. Bhat, Irshad A. Bhat, Naman Jain and Dipti Misra Sharma(#33)
13. Deeper syntax for better semantic parsing
Olivier Michalon, Corentin Ribeyre, Marie Candito and Alexis Nasr(#161)
14. Language Independent Dependency to Constituent Tree Conversion
Young-Suk Lee and Zhiguo Wang(#167)
15. Promoting multiword expressions in A* TAG parsing
Jakub Waszczuk, Agata Savary and Yannick Parmentier(#766)
Under-resourced Languages

16. Incrementally Learning a Dependency Parser to Support Language Documentation in Field
Linguistics
Morgan Ulinski, Julia Hirschberg and Owen Rambow(#97)
17. Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks
Othman ZENNAKI, Nasredine Semmar and Laurent Besacier(#109)
18. Bitext Name Tagging for Cross-lingual Entity Annotation Projection
Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji and Weiran XU(#356)
19. Determining the Multiword Expression Inventory of a Surprise Language
Bahar Salehi, Paul Cook and Timothy Baldwin(#401)
20. A Hybrid Deep Learning Architecture for Sentiment Analysis
Md Shad Akhtar, Ayush Kumar, Asif Ekbal and Pushpak Bhattacharyya(#779)
21. Word Segmentation in Sanskrit Using Path Constrained Random Walks
Amrith Krishna, Bishal Santra, Pavankumar Satuluri, Sasi Prasanth Bandaru,
Bhumi Faldu, Yajuvendra Singh and Pawan Goyal(#1020)22. Mongolian Named Entity Recognition System with Rich Features
Weihua Wang, Feilong Bao and Guanglai Gao(#1158)
Applications I
23. Appraising UMLS Coverage for Summarizing Medical Evidence
Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond Wong and Fang Chen(#1087)
24. Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant
Ali Cevahir and Koji Murakami(#408)
25. Product Classification in E-Commerce using Distributional Semantics
Vivek Gupta, Harish Karnick, Ashendra Bansal and Pradhuman Jhala(#664)
26. Represention and Learning of Temporal Relations
Leon Derczynski(#810)

16:30-18:00 Oral (3 x 4 sessions) + poster (21)Sessions (Chair)

3-A: Natural
Language
Generation,
Summarization III(Michael Strube)

3-B: Syntactic
and Semantic
Parsing,
GrammarInduction II

3-C: Morphology,
Segmentation
Tagging,
Chunking II(Erhard Hinrichs)

3-D: Applications
II(Leon
Derczynski)

(Yusuke Miyao)
Rooms

Conference Hall

1202

1008

1009

16:30 – 17:00

AttSum: Joint
Learning of
Focusing andSummarization
with Neural
Attention

Cross-lingual
Learning of an
Open-domain
Semantic Parser

Keystroke
dynamics as
signal for
shallow
syntactic parsing

GAKE: Graph
Aware
Knowledge
EmbeddingZiqiang Cao,
Wenjie Li, Sujian
Li, Furu Wei and
Yanran Li
17:00 – 17:30(#386)
Using Relevant
Public Posts toEnhance News
ArticleSummarization
Chen Li, Zhongyu
Wei, Yang LiuYang Jin and Fei
Huang

17:30 – 18:00(#1076)
A PropositionBased
Abstractive
Summariser
Yimai Fang,
Haoyue Zhu, Ewa
Muszyńska,Alexander Kuhnle
and Simone Teufel

Kilian Evang andJohan Bos

Barbara Plank(#853)(#735)Jun Feng, Minlie
Huang, Yang
Yang and xiaoyan
zhu(#589)A subtree-based
factorization of
dependency
parsing

A Bayesianmodel for joint
word alignment
and part-ofspeech transfer

Qiuye Zhao and
Qun Liu

Robert Östling(#1084)(#578)

K-SRL:
Instance-based
Learning for
Semantic Role
Labeling

Splittingcompounds withngramsAlan Akbik andYunyao Li

Naomi Tachikawa
Shapiro(#1050)(#1091)(#1098)

Ranking
Responses
Oriented toConversational
Relevance in
Chat-bots
Bowen Wu,
Baoxun Wang and
Hui Xue(#434)
Probabilistic
Prototype Modelfor
Serendipitous
Property Mining
Taesung Lee,
Seung-won
Hwang andZhongyuan Wang(#569)

Posters (21): 12F Foyer
Computational Psycholinguistics I

1. Identifying Cross-Cultural Differences in Word Usage Aparna
Garimella, Rada Mihalcea and James Pennebaker(#85)

2. Reading Time Annotation of "Balanced Corpus of Contemporary Written Japanese"
Masayuki Asahara, Hajime Ono and Edson T. Miyamoto(#230)

3. “How Bullying is this Message?”: A Psychometric Thermometer for BullyingParma Nand, Rivindu Perera and Abhijeet Kasture(#343)

4. Learning grammatical categories using paradigmatic representations: Substitute words forlanguage acquisition
Mehmet Ali Yatbaz, Volkan Cirik, Aylin Küntay and Deniz Yuret(#383)

5. Understanding the Lexical Simplification Needs of Non-Native Speakers of English
Gustavo Paetzold and Lucia Specia(#615)

6. How Interlocutors Coordinate with each other within Emotional Segments?
Firoj Alam, Shammur Absar Chowdhury, Morena Danieli and Giuseppe Riccardi(#926)
Linguistic Issues in NLP

7. Advancing Linguistic Features and Insights by Label-informed Feature Grouping: An
Exploration in the Context of Native Language Identification
Serhiy Bykh and Detmar Meurers(#304)

8. Modeling Diachronic Change in Scientific Writing with Information Density
Raphael Rubino, Stefania Degaetano-Ortlieb, Elke Teich and Josef van Genabith(#309)

9. Different Contexts Lead to Different Word Embeddings
Wenpeng Hu, Jiajun Zhang and Nan Zheng(#402)

10. Machine Learning for Metrical Analysis of English Poetry
Manex Agirrezabal, Mans Hulden and Iñaki Alegria(#464)

11. Automated speech-unit delimitation in spoken learner English
Russell Moore, Andrew Caines, Calbert Graham and Paula Buttery(#535)

12. Learning to Identify Sentence Parallelism in Student Essays
Wei Song, Tong Liu, Ruiji Fu, Lizhen Liu, Hanshi Wang and Ting Liu(#596)

13. Evaluating anaphora and coreference resolution to improve automatic keyphrase extraction
Marco Basaldella, Giorgia Chiaradia and Carlo Tasso(#654)

14. Retrieving Occurrences of Grammatical Constructions
Anna Ehrlemark, Richard Johansson and Benjamin Lyngfelt(#755)

15. Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced
Alignments
Mariano Felice, Christopher Bryant and Ted Briscoe(#893)

16. Contrasting Vertical and Horizontal Transmission of Typological Features
Kenji Yamauchi and Yugo Murawaki(#944)

17. How Regular is Japanese Loanword Adaptation? A Computational Study
Lingshuang Mao and Mans Hulden(#1025)

18. Using Linguistic Data for English and Spanish Verb-Noun Combination Identification
Uxoa Iñurrieta, Arantza Diaz de Ilarraza, Gorka Labaka, Kepa Sarasola, Itziar Aduriz and John
Carroll(#1187)
Applications II

19. Analyzing Gender Bias in Student Evaluations
Andamlak Terkik, Emily Prud'hommeaux, Cecilia Ovesdotter Alm, Christopher Homan and Scott
Franklin(#812)

20. Adverse Drug Reaction Classification With Deep Neural Networks
Trung Huynh, Yulan He, Alistair Willis and Stefan Rueger(#367)

21. Chinese Preposition Selection for Grammatical Error Diagnosis
Hen-Hsen Huang, Yen-Chi Shao and Hsin-Hsi Chen(#243)

December 14

9:00-10:00 Invited talk 2 (Chair: Yuji Matsumoto)Getting the Input Right: Refining our Understanding of What Children Hear
Reiko Mazuka (RIKEN Brain Science Institute & Duke University)
As models for language learning become increasingly sophisticated, it is essential to pay close attention
to the purported input received by learners. This talk presents two examples of phonological input for
which a failure to account for relevant factors has led to misleading conclusions. A fully annotateddataset of infant-directed speech is now allowing a more refined analysis of what children actually hear.
The first example concerns vowel-duration contrasts (long vs. short) in Japanese. One previous study,
working under the assumption that long and short vowels occurred with equal frequency, concluded thatthe distinction could be learned by a simple distributional model. Our dataset, however, reveals that (a) in
reality over 90% of vowels in Japanese are short, and (b) the distribution of long vowel duration is entirely
encompassed within that of short vowels. The second example concerns the widely accepted claim thatwhen adults speak to infants (infant-directed speech, IDS), they speak with a slower speech rate thanwhen speaking to adults (adult-directed speech, ADS). Studies supporting this conclusion, however, haveconsistently failed to account for the fact that IDS utterances are shorter than those of ADS. Our dataset
differentiates between utterance-internal speech rate and utterance-final lengthening, and finds taken
separately, these values almost identical between IDS and ADS. As it turns out, IDS appeared to have aslower overall rate only because of the greater frequency of utterance-final segments.

10:30-12:00 Oral (3 x 4 sessions) + poster (21)4-A: Morphology,
Segmentation,
Tagging, Chunking
III(Nizar Habash)

4-B: Applications
III(Anna Korhonen)Rooms

Conference Hall1202

10:30 – 11:00

Extending the Useof Adaptor
Grammars for
UnsupervisedMorphological
Segmentation ofUnseenLanguages

Extracting
Discriminative
Keyphrases with
LearnedSemantic
Hierarchies

Ramy Eskander,
Owen Rambow and
Tianchun Yang

Yunli Wang, Yong
Jin, Xiaodan Zhu
and Cyril Goutte(#331)(#1080)

11:00 – 11:30

CharNER:
Character-Level
Named Entity
Recognition
Onur Kuru, Ozan
Arkan Can and
Deniz Yuret(#376)

Hashtag
Recommendation
Using End-ToEnd Memory
Networks with
Hierarchical
Attention
Haoran Huang, Qi
Zhang, Yeyun
Gong and
Xuanjing Huang

4-C:
Computational
Psycholinguistics
and Linguistic
Issues in NLP I(Allan Ramsay)
1008

4-D: Resources,
Software, Tools& Underresourced
languages II(Nianwen Xue)
1009

Memory-Bounded
Left-Corner
Unsupervised
GrammarInduction on
Child-Directed
Input

Named Entity
Recognition for
Linguistic Rapid
Response in
Low-Resource
Languages:
Sorani Kurdish
and Tajik

Cory Shain, William
Bryce, Lifeng Jin,
Victoria Krakovna,
Finale Doshi-Velez,
Timothy Miller,
William Schulerand Lane Schwartz(#209)‘Calling on theclassical phone’:a distributionalmodel ofadjective-noun
errors in learners’
EnglishAurélie Herbelot
and Ekaterina
KochmarPatrick Littell,Kartik Goyal,
David R.
Mortensen, Alexa
Little, Chris Dyer
and Lori Levin(#795)
Multilingual
supervision ofsemantic
annotation
Peter Exner,
Marcus Klang
and Pierre
Nugues(#565)(#96)
11:30 – 12:00

A Neural Model forPart-of-Speech
Tagging in
Historical Texts(#594)
Automatic
Labelling ofTopics with
NeuralEmbeddings

Are Cohesive
Features Relevant
for Text
Readability
Evaluation?

SiameseConvolutional
Networks for
CognateIdentification

Amalia Todirascu,
Thomas Francois,
Delphine Bernhard,
Nuria Gala andAnne-Laure Ligozat

Taraka Rama

Christian Hardmeier(#834)

Shraey Bhatia, Jey
Han Lau andTimothy Baldwin(#646)(#606)(#1117)

Posters (21): 12F Foyer
Natural Language Generation, Summarization I

1. Exploring Differential Topic Models for Comparative Summarization on Scientific Papers
Lei He, Wei Li and Hai Zhuge(#642)

2. Bridging the gap between extractive and abstractive summaries: Creation and evaluation ofcoherent extracts from heterogeneous sources
Darina Benikova, Margot Mieskes, Christian M. Meyer and Iryna Gurevych(#671)

3. Chinese Poetry Generation with Planning based Neural Network
Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang and Enhong Chen(#678)

4. Predicting sentential semantic compatibility for aggregation in text-to-text generation
Victor Chenal and Jackie Chi Kit Cheung(#762)

5. Sequential Clustering and Contextual Importance Measures for Incremental Update
Summarization
Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz(#768)

6. Natural Language Generation through Character-based RNNs with Finite-state Prior
Knowledge
Raghav Goyal, Marc Dymetman and Eric Gaussier(#774)

7. A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature
Suchet Chachra, Asma Ben Abacha, Sonya Shooshan, Laritza Rodriguez and Dina DemnerFushman(#807)

8. Imitation learning for language generation from unaligned data
Gerasimos Lampouras and Andreas Vlachos(#920)

9. Product Review Summarization by Exploiting Phrase Properties
Naitong Yu, Minlie Huang, Yuanyuan Shi and xiaoyan zhu(#972)

10. Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts
Jun Araki, Dheeraj Rajagopal, Sreecharan Sankaranarayanan, Susan Holm, Yukari Yamakawa
and Teruko Mitamura(#1024)
Resources, Software and Tools I

11. Evaluation Strategies for Computational Construction Grammar
Tania Marques and Katrien Beuls,(#59)

12. Building a Monolingual Parallel Corpus for Text Simplification Using Sentence
Similarity Based on Alignment between Word Embeddings
Tomoyuki Kajiwara and Mamoru Komachi(#133)

13. Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or
Lexical Resources?
Christophe Servan, Alexandre Berard, zied elloumi, Hervé Blanchon and Laurent Besacier(#184)

14. Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
Leon Derczynski, Kalina Bontcheva and Ian Roberts(#192)

15. Semantic overfitting: what ‘world’ do we consider when evaluating disambiguation of text?
Filip Ilievski, Marten Postma and Piek Vossen(#430)
Information Retrieval, Information Extraction, Question Answering I

16. Extraction of Keywords of Novelties From Patent Claims
Shoko Suzuki and Hiromichi Takatsuka(#532)

17. Leveraging Multilingual Training for Limited Resource Event Extraction
Andrew Hsi, Yiming Yang, Jaime Carbonell and Ruochen Xu(#546)

18. LILI: A Simple Language Independent Approach for Language Identification
Mohamed Al-Badrashiny and Mona Diab(#197)

19. High Accuracy Rule-based Question Classification using Question Syntax and Semantics
Harish Tayyar Madabushi and Mark Lee(#271)

20. Incorporating Label Dependency for Answer Quality Tagging in Community Question
Answering via CNN-LSTM-CRF
Yang Xiang, Xiaoqiang Zhou, Qingcai Chen, Zhihui Zheng, Buzhou Tang, Xiaolong Wang andYang Qin(#581)

21. Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification
Chaya Liebeskind and Yaakov HaCohen-Kerner(#354)

December 15

9:00-10:00 Invited talk 3 (Chair: Yuji Matsumoto)
NLP to support clinical tasks and decisions
Dina Demner-Fushman (U.S. National Library of Medicine)

Clinical decision support (CDS) provides clinicians and patients with information needed to enhance
health and health care. Clinical NLP -- natural language processing methods to support healthcare by
operationalizing clinical information contained in clinical narrative -- is an integral part of CDS. Clinical
NLP has started in the early 1960s, with several successful applications now integrated in daily care. I will
first discuss the successful applications that are already positively impacting clinical practice, as well as
publicly available resources, including those developed by our group. Consumer language understandingis an equally important and rapidly evolving part of CDS. In the second part of the talk, I will present ourwork in understanding consumer health questions. I will conclude with the challenges and opportunities
to contribute to these fascinating research areas that have practical implications for our health.
10:30-12:30 Oral (4 x 4 sessions) + poster (26)Rooms
10:30 – 11:00

5-A: Semantic
Processing,Distributional
Semantics,
Compositionality
I(Chris Biemann)
Conference Hall

5-B:
Computational
Psycholinguistics
and Linguistic
Issues in NLP II(Lori Levin)

Semantic
Relation
Classification via
Hierarchical
Recurrent Neural
Network with
Attention
Minguang Xiao
and Cong Liu(#404)

5-D: MachineTranslation I(Graham Neubig)

1202

5-C: Lexical
Semantics,
Ontologies &Paraphrasing,
TextualEntailment I(Kentaro Inui)
1008

Survey on the
Use ofTypological
Information in
Natural Language
Processing

Sentence
Similarity
Learning by
LexicalDecomposition
and Composition

Fast Gated
Neural Domain
Adaptation:
Language Modelas a Case Study

Helen O'Horan,
Yevgeni Berzak,
Ivan Vulic, Roi
Reichart and Anna
Korhonen

Zhiguo Wang,
Haitao Mi and
Abraham
Ittycheriah

1009

Jian Zhang,
Xiaofeng Wu,
Andy Way and
Qun Liu(#872)(#47)
11:00 – 11:30

A UnifiedArchitecture for
Semantic Role
Labeling andRelation
Classification
Jiang Guo,
Wanxiang Che,
Haifeng Wang,
Ting Liu and Jun
Xu(#831)
From phonemes
to images: levelsof representation
in a recurrent
neural model ofvisuallygroundedlanguagelearning
Lieke Gelderloos
and Grzegorz
Chrupała

ChineseHypernymHyponym
Extraction from
User Generated
Categories
Chengyu Wang,
Xiaofeng He,
Xiaofeng He andAoying Zhou(#43)

MachineTranslation
Evaluation for
Arabic using
Morphologicallyenriched
Embeddings
Francisco
Guzmán, Houda
Bouamor, Ramy
Baly and Nizar
Habash(#965)(#882)
11:30 – 12:00

Facing the mostdifficult case of
Semantic Role
Labeling: A
collaboration of(#748)
Linguisticfeatures for Hindi
light verb
construction
identification

Dynamic
Generativemodel forDiachronic
Sense

Ensemble
Learning forMulti-Source
Neural MachineTranslation

wordembeddings andco-training
Quynh Ngoc Thi
Do, Steven
Bethard andMarie-Francine
Moens
12:00 – 12:30(#685)
Predictability ofDistributional
Semantics inDerivational
Word Formation

Ashwini Vaidya,
Sumeet Agarwal
and Martha Palmer(#1019)Emergence
Detection
Martin Emms andArun kumar
JayapalEkaterina
Garmash andChristof Monz(#1039)(#265)

Cross-lingual
Transfer ofCorrelations
between Parts of
Speech and Gaze
Features

Sebastian Padó,
Aurélie Herbelot,
Max Kisselew andJan Šnajder

Maria Barrett,Frank Keller andAnders Søgaard(#696)(#754)

Semi-supervised
Word Sense
Disambiguation
with Neural
ModelsDayu Yuan, Julian
Richardson, Ryan
Doherty, Colin
Evans and Eric
Altendorf

Phrase-based
MachineTranslation
using Multiple
Preordering
Candidates
Yusuke Oda,
Taku Kudo,
Tetsuji Nakagawa
and Taro
Watanabe(#802)(#1132)

Posters (26): 12F Foyer
Information Retrieval, Information Extraction, Question Answering II

1. Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in
Community Question Answering
Sai Praneeth Suggu, Kushwanth Naga Goutham, Manoj K. Chinnakotla and Manish Shrivastava(#42)

2. Learning Event Expressions via Bilingual Structure Projection
Fangyuan Li, Ruihong Huang, Deyi Xiong and Min Zhang(#970)

3. Global Inference to Chinese Temporal Relation Extraction
Peifeng Li, Qiaoming Zhu, Guodong Zhou and Hongling Wang(#52)

4. Improved relation classification by deep recurrent neural networks with data augmentation
Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu and Zhi Jin(#384)

5. Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
Xiaotian Jiang, Quan Wang, Peng Li and Bin Wang(#421)

6. Named Entity Disambiguation for little known referents: a topic-based approach
Andrea Glaser and Jonas Kuhn(#512)

Natural Language Generation, Summarization II

7. Building RDF Content for Data-to-Text Generation
Laura Perez-Beltrachini, Rania SAYED and Claire Gardent(#222)

8. Parallel Sentence Compression
Julia Ive and François Yvon(#677)

9. An Unsupervised Multi-Document Summarization Framework Based on Neural Document
Model
Shulei Ma, Zhi-Hong Deng and Yunlun Yang(#454)

10. From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation
Maximilian Schwenger, Alvaro Torralba, Joerg Hoffmann, David M. Howcroft and Vera Demberg(#561)

11. The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus
Built with a Novel Construction Approach
Markus Zopf, Maxime Peyrard and Judith Eckle-Kohler(#634)
Sentiment Analysis, Computational Argumentation I

12. SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
Marzieh Saeidi, Guillaume Bouchard, Maria Liakata and Sebastian Riedel(#70)

13. On the Impact of Seed Words on Sentiment Polarity Lexicon Induction
Dame Jovanoski, Veno Pachovski and Preslav Nakov(#144)

14. Evaluating Argumentative and Narrative Essays using Graphs
Swapna Somasundaran, Brian Riordan and Binod Gyawali(#145)

15. Selective Co-occurrences for Word-Emotion Association
Ameeta Agrawal and Aijun An(#786)

16. Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification
Bofang Li, Zhe Zhao, Tao Liu, Puwei Wang and Xiaoyong Du(#152)

17. A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Soujanya Poria, Erik Cambria, Devamanyu Hazarika and Prateek Vij(#181)

18. Exploring Distributional Representations and Machine Translation for Aspect-based Crosslingual Sentiment Classification.
Jeremy Barnes, Patrik Lambert and Toni Badia(#326)

19. A Bilingual Attention Network for Code-switched Emotion Prediction
Zhongqing Wang, Yue Zhang, Sophia Lee, Shoushan Li and Guodong Zhou(#392)

20. UTCNN: a Deep Learning Model of Stance Classification on Social Media Text
Wei-Fan Chen and Lun-Wei Ku(#438)
Computational Psycholinguistics II

21. The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour
Miquel Cornudella, Thierry Poibeau and Remi van Trijp(#305)

22. Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi(#332)

23. Collecting and Exploring Everyday Language for Predicting Psycholinguistic Properties of
Words
Gustavo Paetzold and Lucia Specia(#650)
Applications III

24. Using Argument Mining to Assess the Argumentation Quality of Essays
Henning Wachsmuth, Khalid Al Khatib and Benno Stein(#447)

25. Grammatical Templates: Improving Text Difficulty Evaluation for Language Learners
Shuhan Wang and Erik Andersen(#121)
26. Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder
Neural Networks on Monotone String Translation Tasks
Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh and Iryna Gurevych(#551)

14:00-16:00 Oral (4 x 4 sessions) + poster (25)Rooms
14:00 – 14:30

6-A: Information
Retrieval,
Information
Extraction,
Question
Answering I(Akiko Aizawa)
Conference Hall

6-B: Machine
Learning for NLP
II(Anders
Søgaard)

6-C: MachineTranslation II(Taro Watanabe)

6-D: Semantic
Processing,Distributional
Semantics,
Compositionality II(Sebastian Riedel)

1202

1008

1009

Towards TimeAware
Knowledge
Graph
Completion

Recurrent
Dropout without
Memory Loss

InteractivePredictive
MachineTranslation
based onDirect vs. indirect
evaluation of
distributional
thesauriTingsong Jiang,
Tianyu Liu, Tao
Ge, Lei Sha,
Baobao Chang,
Sujian Li and
Zhifang Sui

Stanislau
Semeniuta,
Aliaksei Severyn
and Erhardt Barth(#505)(#576)
14:30 – 15:00

Learning to
WeightTranslations
using Ordinal
LinearRegression andQuery-generated
Training Data for
Ad-hoc Retrieval
with Long
Queries
Javid
Dadashkarimi,
Masoud Jalili
Sabet and Azadeh
Shakery

15:00 – 15:30(#782)
Neural Attention
for Learning to
Rank Questions
in Community
Question
Answering
Salvatore Romeo,
Giovanni Da San
Martino, Alberto
Barrón-Cedeño,
Alessandro
Moschitti, Yonatan
Belinkov, WeiNing Hsu, Yu
Zhang, Mitra
Mohtarami andJames Glass

15:30 – 16:00(#851)
Simple Question
Answering byAttentive
Convolutional
Neural Network

Syntactic
Constraints ofPrefixVincent Claveau
and Ewa Kijak(#809)Na Ye, Guiping
Zhang andDongfeng Cai(#100)

Modeling topic
dependencies insemanticallycoherent textspans withcopulasGeorgios Balikas,
Hesam
Amoualian,
Marianne Clausel,
Massih R Aminiand Eric Gaussier

Topic-Informed
Neural MachineTranslation
Jian Zhang,
Liangyou Li, Andy
Way and Qun Liu(#240)

D-GloVe: A
Feasible Least
Squares Model for
Estimating Word
EmbeddingDensities
Shoaib Jameel andSteven Schockaert(#603)(#533)

Consensus
Attention-based
Neural Networks
for Chinese
Reading
Comprehension
Yiming Cui, Ting
Liu, Zhipeng
Chen, Shijin
Wang andGuoping Hu

A Distributionbased Model toLearn Bilingual
Word
Embeddings
Hailong Cao,
Tiejun Zhao, Shu
ZHANG and Yao
Meng

Predicting humansimilarity
judgments with
distributionalmodels: The valueof wordassociations.
Simon De Deyne,
Amy Perfors andDaniel J Navarro(#433)(#983)(#90)

Semantic
Annotation
Aggregation with
Conditional
Crowdsourcing
Models and

Pre-Translation
for Neural
MachineTranslation
Jan Niehues,
Eunah Cho,

Distributional
Hypernym
Generation by
Jointly Learning
Clusters andProjections

Wenpeng Yin, Mo
Yu, Bing Xiang,
Bowen Zhou andHinrich Schütze(#537)

Word
Embeddings

Thanh-Le Ha andAlex Waibel

Paul Felt, Eric
Ringger and Kevin
Seppi(#478)

Josuke Yamane,
Tomoya Takatani,
Hitoshi Yamada,
Makoto Miwa and
Yutaka Sasaki(#1030)(#890)

Posters (25): 12F Foyer
Discourse Relations, Coreference, Pragmatics

1. Incremental Fine-grained Information Status Classification Using Attention-based LSTMs
Yufang Hou(#135)

2. Detection, Disambiguation and Argument Identification of Discourse Connectives in
Chinese Discourse Parsing
Yong-Siang Shih and Hsin-Hsi Chen(#335)

3. Multi-view and multi-task training of RST discourse parsers
Chloé Braud, Barbara Plank and Anders Søgaard(#457)

4. Implicit Discourse Relation Recognition with Context-aware Character-enhanced
Embeddings
Lianhui Qin, Zhisong Zhang and Hai Zhao(#541)

5. Measuring Non-cooperation in Dialogue
Brian Plüss and Paul Piwek(#737)

6. Revisiting the Evaluation for Cross Document Event Coreference
Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos and Dan Roth(#907)

7. Modeling Discourse Segments in Lyrics Using Repeated Patterns
Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru
Fukayama, Tomoyasu Nakano, Jordan Smith and Masataka Goto(#1144)
Dialog Processing and Dialog Systems, Multimodal Interfaces

8. Multi-level Gated Recurrent Neural Network for dialog act classification
Wei Li and Yunfang Wu(#120)

9. Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs
Braja Gopal Patra, Dipankar Das and Sivaji Bandyopadhyay(#200)

10. Detecting Context Dependent Messages in a Conversational Environment
Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li and Ming Zhou(#347)

11. Joint Inference for Mode Identification in Tutorial Dialogues
Deepak Venugopal and Vasile Rus(#992)

12. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent
Neural Network
Hamed Khanpour, Nishitha Guntakandla and Rodney Nielsen(#998)

13. Non-sentential Question Resolution using Sequence to Sequence Learning
Vineet Kumar and Sachindra Joshi(#1007)

14. Context-aware Natural Language Generation for Spoken Dialogue Systems
Hao Zhou, Minlie Huang and xiaoyan zhu(#1023)
Speech Recognition, Text-To-Speech, Spoken Language Understanding II

15. Weakly-supervised text-to-speech alignment confidence measure
Guillaume Serrière, Christophe Cerisara, Dominique Fohr and Odile Mella(#170)

16. Domainless Adaptation by Constrained Decoding on a Schema Lattice
Young-Bum Kim, Karl Stratos and Ruhi Sarikaya(#870)
17. Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for
Word Similarity Tasks and Language Modelling
Mittul Singh, Clayton Greenberg, Youssef Oualil and Dietrich Klakow(#311)
Applications IV

18. Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label
Propagation in Wiktionary
Christian M. Meyer, Judith Eckle-Kohler and Iryna Gurevych(#670)

19. Ambient Search: A Document Retrieval System for Speech Streams
Benjamin Milde, Jonas Wacker, Stefan Radomski, Max Mühlhäuser and Chris Biemann(#674)

20. Semi-supervised Gender Classification with Joint Textual and Social Modeling
Shoushan Li, Bin Dai, Zhengxian Gong and Guodong Zhou(#148)

21. Predicting proficiency levels in learner writings by transferring a linguistic complexity
model from expert-written coursebooks
Ildikó Pilán, Elena Volodina and Torsten Zesch(#399)

22. User Classification with Multiple Textual Perspectives
Dong Zhang, Shoushan Li, Hongling Wang and Guodong Zhou(#360)

23. Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films
Ming Jiang and Jana Diesner(#865)

24. Knowledge-Driven Event Embedding for Stock Prediction
Xiao Ding, Yue Zhang, Ting Liu and Junwen Duan(#241)

25. Distributed Representations for Building Profiles of Users and Items from Text Reviews
Wenliang Chen, Zhenjie Zhang, Zhenghua Li and Min Zhang(#257)

16:30-18:00 Oral (3 x 4 sessions) + poster (21)7-A: MachineTranslation III(Min Zhang)

7-B: Applications
IV(Naoaki Okazaki)

7-C:Computational
Psycholinguistics
and Linguistic
Issues in NLP III(William Schuler)

Rooms

Conference Hall

1202

1008

16:30 – 17:00

Improving
Statistical
MachineTranslation with
Selectional
Preferences

Get Semantic
With Me! The
Usefulness ofDifferent Feature
Types for ShortAnswer Grading

Data-driven
learning ofsymbolic
constraints for alog-linear modelin a phonologicalsetting

Haiqing Tang,
Deyi Xiong, Min
Zhang andZhengxian Gong

Ulrike Pado(#695)

Gabriel Doyle andRoger Levy

7-D: Lexical
Semantics,
Ontologies &Paraphrasing,
TextualEntailment II(Roy Bar-Haim)
1009
TextualEntailment with
Structured
Attentions andComposition
Kai Zhao, Liang
Huang and
Mingbo Ma(#1011)(#1021)
17:00 – 17:30(#492)
Hierarchical
Permutation
Complexity for
Word Order
Evaluation
Miloš Stanojević
and Khalil
Sima'an(#536)

Automatically
Processing
Tweets from
Gang-Involved
Youth: Towards
Detecting Lossand Aggression

Chinese Tense
Labelling andCausal Analysis

Terra Blevins,
RobertKwiatkowski,
Maha Ahmed,
Jamie MacBeth,
Kathleen
McKeown,(#1153)Hen-Hsen Huang,
Chang-Rui Yang
and Hsin-Hsi Chen

plWordNet 3.0 -aComprehensive
Lexical-Semantic
Resource
Marek Maziarz,
Maciej Piasecki,
Ewa Rudnicka,
Stan Szpakowicz
and Paweł Kędzia
(#821)Desmond Patton
and Owen
Rambow
17:30 – 18:00

Interactive
Attention for
Neural MachineTranslation
Fandong Meng,
Zhengdong Lu,
Hang Li and Qun
Liu(#819)
Content-based
Influence
Modeling for
OpinionBehavior
Prediction

Exploring Topic
Discriminating
Power of Words
in Latent Dirichlet
Allocation

Chengyao Chen,
Zhitao Wang, Yu
Lei and Wenjie Li

Yang Kai, Cai Yi,
Chen Zhenhong,Leung Ho-fungand LAU Raymond(#895)(#1162)(#563)TimeIndependent andLanguageIndependent
Extraction ofMultiword
Expressions
From Twitter
Nikhil Londhe,
Rohini Srihari andVishrawas
Gopalakrishnan(#1079)Posters (21): 12F Foyer
Information Retrieval, Information Extraction, Question Answering

1. Incremental Global Event Extraction
Alex Judea and Michael Strube(#587)

2. Hierarchical Memory Networks for Answer Selection on Unknown Words
jiaming xu, Jing Shi, Yiqun Yao, Suncong Zheng, Bo Xu and Bo Xu(#597)

3. Revisiting Taxonomy Induction over Wikipedia
Amit Gupta, Francesco Piccinno, Mikhail Kozhevnikov, Marius Pasca and Daniele Pighin(#731)

4. Joint Learning of Local and Global Features for Entity Linking via Neural Networks
Thien Huu Nguyen, Nicolas Fauceglia, Mariano Rodriguez Muro, Oktie Hassanzadeh, Alfio
Massimiliano Gliozzo and Mohammad Sadoghi(#753)

5. Structured Aspect Extraction Omer Gunes
Giorgio Orsi and Tim Furche(#780)

6. Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings
Simon Baker, Douwe Kiela and Anna Korhonen(#863)

7. Mathematical Information Retrieval based on Type Embeddings and Query Expansion
Yiannos Stathopoulos and Simone Teufel(#902)

8. Text Retrieval by Term Co-occurrences in a Query-based Vector SpaceEriks Sneiders(#45)

9. Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural
Network
Jianfei Yu and Jing Jiang(#978)

10. FastHybrid: A Hybrid Model for Efficient Answer Selection
Lidan Wang, Ming Tan and Jiawei Han(#1057)

11. Extracting Spatial Entities and Relations in Korean Text
Bogyum Kim and Jae Sung Lee(#1085)

12. Hybrid Question Answering over Knowledge Base and Free Text
kun xu, Yansong Feng, Songfang Huang and Dongyan Zhao(#1155)

13. Improved Word Embeddings with Implicit Structure Information
Jie Shen and Cong Liu(#462)

Sentiment Analysis, Computational Argumentation

14. Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification
Abdelghani Dahou, Shengwu Xiong, Junwei Zhou, Mohamed Houcine Haddoud and Pengfei Duan(#456)

15. Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of
Short Texts
Xingyou Wang, Weijie Jiang and Zhiyong Luo(#498)

16. Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure ofSocial Media Conversations
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter and Michal Lukasik(#635)

17. Tweet Sarcasm Detection Using Deep Neural Network
Meishan Zhang, Yue Zhang and Guohong Fu(#150)

18. Agreement and Disagreement: Comparison of Points of View in the Political Domain
Stefano Menini and Sara Tonelli(#816)

19. Targeted Sentiment to Understand Student Comments
Charles Welch and Rada Mihalcea(#837)

20. Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code
Mixed Text

Ameya Prabhu, Aditya Joshi, Manish Shrivastava and Vasudeva Varma(#931)

21. Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong, Yue Zhang, Donghong JI and Yinxia Lou(#934)

December 16

9:00-10:00 Invited talk 4 (Chair: Yuji Matsumoto)
A Look at Computational Argumentation and Summarisation from a
Text-Understanding Perspective
Simone Teufel (University of Cambridge)
In the past five years, computational argumentation has emerged as a new, active research field. This
field studies all aspects of analysing and generating human argumentation, including argument mining,supportive debating technologies, logical representation of arguments, models of reasoning, and theconnection of discourse processing and argumentation. As somebody who is mainly interested in the textunderstanding challenges of computational argumentation, I think this new field has the potential toadvance (and provide means of evaluating) the text-understanding capabilities of today's NLP systems.
When humans construct an argument in order to convince others, how do they order and structure theinformation they want to convey? I will argue that whatever principles are at work, they are almost
identical to those needed when summarising a text. Amongst the relations of particular interest are
entailment, causal and rhetorical relationships. I will give an overview of currently available (textunderstanding-based) analysis methods that can inform our understanding of these principles, and I will
also say a few words about a proposition-based approach to summarisation we have developed at
Cambridge University that has the potential to contribute insights to computational argumentation.

10:30-12:30 Oral (4 x 4 sessions) + poster (24)Rooms
10:30 – 11:00

8-A: Information
Retrieval,
Information
Extraction,
Question
Answering II(Le Sun)Conference Hall

8-B: MachineTranslation IV(Yang Liu)

8-C: Discourse
Relations,
Coreference,
Pragmatics(Matthew Stone)

8-D: Sentiment
Analysis,
Computational
Argumentation I(Iryna Gurevych)

1202

1008

1009

ConstraintBased Question
Answering with
Knowledge
Graph

BilingualAutoencoders
with Global
Descriptors for
Modeling Parallel
Sentences

Anecdote
Recognition andRecommendation
Wei Song, Ruiji
Fu, Lizhen Liu,
Hanshi Wang andTing Liu

Aspect Based
Sentiment
Analysis using
Sentiment Flowwith Local andNon-local
Neighbor
Information(#62)

Shubham Pateria

Junwei Bao, Nan
Duan, Zhao Yan,
Ming Zhou and
Tiejun Zhao(#1168)Biao Zhang, Deyi
Xiong, jinsong su,
Hong Duan and
Min Zhang(#313)

(#542)
11:00 – 11:30

SelectingSentences
versus Selecting
TreeConstituents for
Automatic
Question
Ranking
Alberto BarrónCedeño, Giovanni
Da San Martino,
Salvatore Romeoand Alessandro
Moschitti

11:30 – 12:00(#721)
Attention-Based
Convolutional
Neural Network
for Semantic
Relation
Extraction
yatian shen and
Xuanjing Huang(#728)

Multi-Engine andMulti-Alignment
Based Automatic
Post-Editing and
its Impact on
Translation
Productivity
Santanu Pal,
Sudip Kumar
Naskar and Josef
van Genabith

Kailang Jiang,
Giuseppe Carenini
and Raymond Ng

Shoushan Li, JianXu, Dong Zhang
and Guodong
Zhou(#815)(#99)

Measuring theEffect ofConversational
Aspects on
MachineTranslation
Quality
Marlies van derWees, Arianna
Bisazza andChristof Monz

Inferring
Discourse
Relations from
PDTB-style
Discourse Labels
for
Argumentative
Revision
Classification
Fan Zhang, Diane
Litman andKatherine ForbesRiley(#881)
Capturing
Pragmatic
Knowledge in
Article Usage
Prediction using
LSTMs

Table FillingMulti-Task
Recurrent Neural
Network for Joint
Entity and
Relation
Extraction

Enriching Phrase
Tables for
Statistical
MachineTranslation
Using Mixed
Embeddings

Pankaj Gupta,
Hinrich Schütze
and Bernt
Andrassy

Peyman Passban,
Qun Liu and AndyWay

Jad Kabbara,
Yulan Feng andJackie Chi Kit
Cheung(#759)(#1058)(#353)

Posters (24): 12F Foyer
Machine Learning

Two-View Label
Propagation to
Semi-supervised
Reader Emotion
Classification(#595)(#645)
12:00 – 12:30

Training Data
Enrichment for
Infrequent
Discourse
Relations

A Joint
SentimentTarget-Stance
Model for StanceClassification in
TweetsJavid Ebrahimi,
Dejing Dou andDaniel Lowd(#894)

SenticNet 4: A
Semantic
Resource for
Sentiment
Analysis Basedon ConceptualPrimitives
Erik Cambria,
Soujanya Poria,
Rajiv Bajpai and
Bjoern Schuller(#198)

1. Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and
Dataless Classification
Yuezhang(Music) Li, Ronghuo Zheng, Tian Tian, Rahul Iyer, Zhiting Hu and Katia Sycara(#216)

2. Latent Topic Embedding
Di Jiang, Lei Shi, Rongzhong Lian and Hua Wu(#225)

3. Neural-based Noise Filtering from Word Embeddings
Kim Anh Nguyen, Sabine Schulte im Walde and Ngoc Thang Vu(#475)

4. Integrating Distributional and Lexical Information for Semantic Classification of Words
using MRMF
Rosa Tsegaye Aga, Lars Schmidt-Thieme, Christian Wartena and Lucas Drumond(#591)

5. Semi Supervised Preposition-Sense Disambiguation using Multilingual Data
Hila Gonen and Yoav Goldberg(#619)

6. Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony inEnglish tweets
Cynthia Van Hee, Els Lefever and Veronique Hoste(#626)

7. CNN- and LSTM-based Claim Classification in Online User Comments
Chinnappa Guggilla, Tristan Miller and Iryna Gurevych(#792)

8. Experiments in Idiom Recognition
JIng Peng and Anna Feldman(#933)

9. An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence
Classification Tasks
Anirban Laha and Vikas Raykar(#1143)

10. Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, EliasFano Indices, and Quantization
Hajime Senuma and Akiko Aizawa(#1170)
Semantic Processing, Distributional Semantics, Compositionality I

11. Bad Company—Neighborhoods in Neural Embedding Spaces Considered Harmful
Johannes Hellrich and Udo Hahn(#785)

12. Implementing a Reverse Dictionary, based on word definitions, using a Node-Graph
Architecture
Sushrut Thorat and Varad Choudhari(#813)

13. Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences
between Visual and Linguistic Representations
Guillem Collell and Marie-Francine Moens(#839)

14. On the contribution of word embeddings to temporal relation classification
Paramita Mirza and Sara Tonelli(#868)

15. Modeling Context-sensitive Selectional Preference with Distributed Representations
Naoya Inoue, Yuichiroh Matsubayashi, Masayuki Ono, Naoaki Okazaki and Kentaro Inui(#887)

16. Exploring the value space of attributes: Unsupervised bidirectional clustering of adjectives
in German
Wiebke Petersen and Oliver Hellwig(#922)

17. Distributional Inclusion Hypothesis for Tensor-based Composition
Dimitri Kartsaklis and Mehrnoosh Sadrzadeh(#942)

18. Parameter estimation of Japanese predicate argument structure analysis model using eye
gaze information
Ryosuke Maki, Hitoshi Nishikawa and Takenobu Tokunaga(#1163)
Paraphrasing, Textual Entailment

19. Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition
Lei Sha, Baobao Chang, Zhifang Sui and Sujian Li(#114)

20. A Paraphrase and Semantic Similarity Detection System for User Generated Short-Text
Content on Microblogs
Kuntal Dey, Ritvik Shrivastava and Saroj Kaushik(#116)

21. Modeling Extractive Sentence Intersection via Subtree Entailment
Omer Levy, Ido Dagan, Gabriel Stanovsky, Judith Eckle-Kohler and Iryna Gurevych(#296)

22. Context-Sensitive Inference Rule Discovery: A Graph-Based Method
Xianpei Han and Le Sun(#339)

23. Modelling Sentence Pairs with Tree-structured Attentive Encoder
Yao Zhou, Cong Liu and Yan Pan(#364)

24. Neural Paraphrase Generation with Stacked Residual LSTM Networks
aaditya prakash, Sadid A. Hasan, Kathy Lee, Vivek Datla, Ashequl Qadir, Joey Liu and Oladimeji
Farri(#945)

14:00-15:30 Oral (3 x 4 sessions) + poster (20)Rooms
14:00 – 14:30

9-A: Information
Retrieval,
Information
Extraction,
Question
Answering III(Key-Sun Choi)
Conference Hall

9-B: Sentiment
Analysis,
Computational
Argumentation II(Manfred Stede)9-C: Applications
V(Manabu
Okumura)9-D: Resources,
Software, Tools &Under-resourced
languages III(JamesPustejovsky)

1202

1008

1009

English-Chinese
Knowledge BaseTranslation with
Neural Network“All I know
about politics iswhat I read in
Twitter”: Weakly
Supervised
Models for
Extracting
Politicians’
Stances From
Twitter
Kristen Johnson
and Dan
Goldwasser

Fast Inference forInteractive
Models of Text

Better call Saul:
Flexible
Programming for
Learning andInference in NLP

Xiaocheng Feng,
Duyu Tang, Bing
Qin and Ting Liu(#770)

Jeffrey Lund, Paul
Felt, Kevin Seppi
and Eric Ringger(#718)(#915)
14:30 – 15:00

15:00 – 15:30

Keyphrase
Annotation with
Graph CoRanking

Leveraging
Multiple
Domains for
Sentiment
Classification

Combining
Heterogeneous
User Generated
Data to Sense
Well-being

Adrien Bougouin,
Florian Boudin
and Beatrice
DailleFan Yang, Arjun
Mukherjee andYifan Zhang(#267)(#355)

Adam Tsakalidis,
Maria Liakata,
Theo Damoulas,
Brigitte Jellinek,
Weisi Guo andAlexandra Cristea

What's in an
Explanation?
Characterizing
Knowledge andInference
Requirements
for Elementary
Science Exams

Political News
Sentiment
Analysis for
Under-resourced
Languages

Peter Jansen,
NiranjanBalasubramanian,Patrik F. Bakken,
Terje A. Bratlie,
Cristina Marcoand Jon Atle
Gulla(#772)
Hashtag
Recommendation
with TopicalAttention-Based
LSTM
Yang Li, Ting Liu,
Jing Jiang andLiang Zhang(#927)

ParisaKordjamshidi,
Daniel Khashabi,
Christos
Christodoulopoulos,
Bhargav
Mangipudi, Sameer
Singh and Dan
Roth(#761)
Crowdsourcing
Complex
Language
Resources:
Playing to
Annotate
Dependency
Syntax
Bruno Guillaume,Karën Fort andNicolas Lefebvre(#667)
Borrow a Little
from your Rich
Cousin: Using
Embeddings andPolarities ofEnglish Words forMultilingual
Sentiment
Classification

Mihai Surdeanu
and Peter Clark($487)

Prerana Singhal
and Pushpak
Bhattacharyya(#1028)(#798)

Posters (20): 12F Foyer
Machine Translation

1. A Character-Aware Encoder for Neural Machine Translation
Zhen Yang, Wei Chen, Feng Wang and Bo Xu(#201)

2. Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modelingjinsong su, Biao Zhang, Deyi Xiong, Ruochen Li and Jianmin Yin(#260)

3. Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation
Shi Feng, Shujie Liu, Nan Yang, Mu Li, Ming Zhou and Kenny Q. Zhu(#379)

4. Neural Machine Translation with Supervised Attention
Lemao Liu, Masao Utiyama, Andrew Finch and Eiichiro Sumita(#381)

5. Lightly Supervised Quality Estimation
Matthias Sperber, Graham Neubig, Jan Niehues, Sebastian Stüker and Alex Waibel(#413)

6. Improving Translation Selection with Supersenses
Haiqing Tang, Deyi Xiong, Oier Lopez de Lacalle and Eneko Agirre(#605)

7. Is all that Glitters in Machine Translation Quality Estimation really Gold?
Yvette Graham, Timothy Baldwin, Meghan Dowling, Maria Eskevich, Teresa Lynn and Lamia
Tounsi(#649)

8. Connecting Phrase based Statistical Machine Translation Adaptation
Rui Wang, Hai Zhao, Bao-Liang Lu, Masao Utiyama and Eiichiro Sumita(#658)

9. Fast Collocation-Based Bayesian HMM Word Alignment
Philip Schulz and Wilker Aziz(#693)

10. Learning to translate from graded and negative relevance information
Laura Jehl and Stefan Riezler(#699)

11. Universal Reordering via Linguistic Typology
Joachim Daiber, Miloš Stanojević and Khalil Sima'an(#704)

12. A Deep Fusion Model for Domain Adaptation in Phrase-based MT
Nadir Durrani, Hassan Sajjad, Shafiq Joty and Ahmed Abdelali(#757)

13. Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance
Regularization
Meng Zhang, Yang Liu, Huanbo Luan, Yiqun Liu and Maosong Sun(#892)

14. What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German
Translation
Fabian Hirschmann, Jinseok Nam and Johannes Fürnkranz(#989)

15. Improving Word Alignment of Rare Words with Word Embeddings
Masoud Jalili Sabet, Heshaam Faili and Gholamreza Haffari(#1120)Applications V

16. Measuring the Information Content of Financial News
Ching-Yun Chang, Yue Zhang, Zhiyang Teng, Zahn Bozanic and Bin Ke(#391)

17. Automatic Generation and Classification of Minimal Meaningful Propositions in Educational
Systems
Andreea Godea, Florin Bulgarov and Rodney Nielsen(#840)

18. First Story Detection using Entities and Relations
Nikolaos Panagiotou, Cem Akkaya, Kostas Tsioutsiouliklis, Vana Kalogeraki and Dimitrios
Gunopulos(#845)

19. Textual Complexity of the Prompt as a Predictor of Difficulty of Listening Items
Anastassia Loukina, Su-Youn Yoon, Youhua Wei, Jennifer Sakano and Kathy Sheehan(#115)

20. The Construction of a Chinese Collocational Knowledge Resource and Its Application for
Second Language Acquisition
Renfen HU, Jiayong Chen and Kuang-hua Chen(#506)

16:00-17:30 Oral (3 x 4 sessions) + poster (19)10-A:
Information
Retrieval,
Information
Extraction,
Question
Answering IV(Noriko Kando)

10-B: Sentiment
Analysis,
Computational
Argumentation
III(Kazuhide
Yamamoto)

10-C:
Applications VI(Yuki Arase)

10-D: Dialog
Processing and
Dialog Systems,
MultimodalInterfaces(Hideki Tanaka)

RoomsConference Hall

1202

1008

1009

16:00 – 16:30

Joint Inference
for Event
Coreference
Resolution

Corpus Fusion
for Emotion
Classification

Video Event
Detection by
Exploiting Word
Dependencies
from Image
Captions

Sequence to
Backward andForwardSequences: A
ContentIntroducing
Approach toGenerative ShortText
Conversation

Jing Lu, Deepak
Venugopal,
Vibhav Gogate
and Vincent Ng

Suyang Zhu,
Shoushan Li, Ying
Chen and
Guodong Zhou(#102)(#1109)Sang Phan,
Yusuke Miyao,
Duy-Dinh Le andShin'ichi Satoh(#1119)16:30 – 17:00

Event Detection
with Burst
Information
Networks

Effective LSTMs
for TargetDependent
Sentiment
Classification

Tao Ge, Lei Cui,
Baobao Chang,
Zhifang Sui andMing Zhou

Duyu Tang, Bing
Qin, XiaochengFeng and Ting Liu(#1167)(#5)

Predicting
Restaurant
Consumption
Level throughSocial Media
Footprints
Yang Xiao, Yuan
Wang, Hangyu
Mao and Zhen
Xiao(#1179)17:00 – 17:30

Towards
assessing depthof argumentation
Manfred Stede(#1070)A Novel Fast
Framework for
Topic Labeling
Based onSimilaritypreserved
Hashing
Xian-Ling Mao,
Yi-Jing Hao,
Qiang Zhou, WenQing Yuan, Liner
Yang and Heyan
Huang(#1182)

Posters (19): 12F Foyer
Resources, Software, Tools II

1. PersoNER: Persian Named-Entity Recognition

Lili Mou, Yiping
Song, Rui Yan, Ge
Li, Lu Zhang and
Zhi Jin(#377)
Disfluent but
effective? Aquantitative
study ofdisfluencies andconversational
moves in teamdiscourse
Felix Gervits,
Kathleen Eberhard
and Matthias
Scheutz(#724)A Neural Network
Approach forKnowledgeDriven Response
Generation
PavlosVougiouklis,
Jonathon Hareand Elena Simperl(#1082)

Hanieh Poostchi, Ehsan Zare Borzeshi, Mohammad Abdous and Massimo Piccardi(#372)

2. OCR++: A Robust Framework For Information Extraction from Scholarly Articles
Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy,
Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal andAnimesh Mukherjee(#394)

3. Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora
Amir Hazem and Emmanuel Morin(#301)

4. TweetGeo – A Tool for Collecting, Processing and Analysing Geo-encoded Linguistic Data
Nikola Ljubešić, Tanja Samardzic and Curdin Derungs(#470)

5. Extending WordNet with Fine-Grained Collocational Information via Supervised
Distributional Learning
Luis Espinosa Anke, Jose Camacho-Collados, Sara Rodríguez-Fernández,
Horacio Saggion and Leo Wanner(#476)

6. A News Editorial Corpus for Mining Argumentation Strategies
Khalid Al Khatib, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen and Benno Stein(#632)

7. Universal Dependencies for Turkish
Umut Sulubacak, Memduh Gokirmak, Francis Tyers, Çağrı Çöltekin, Joakim Nivre
and Gülşen Eryiğit
(#719)

8. Creating Resources for Dialectal Arabic from a Single Annotation: A Case
Study on Egyptian and Levantine
Ramy Eskander, Nizar Habash, Owen Rambow and Arfath Pasha(#918)

9. Multilingual Aliasing for Auto-Generating Proposition Banks
Alan Akbik, Xinyu Guan and Yunyao Li(#979)

10. PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors
David R. Mortensen, Patrick Littell, Akash Bharadwaj, Kartik Goyal, Chris Dyer and Lori Levin(#1101)
Semantic Processing, Distributional Semantics, Compositionality II

11. Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max
PoolingPeng Zhou, Zhenyu Qi, Suncong Zheng, Jiaming Xu, Hongyun Bao and Bo Xu(#294)

12. More is not always better: balancing sense distributions for all-words Word Sense
Disambiguation
Marten Postma, Ruben Izquierdo Bevia and Piek Vossen

(#422)

13. Language classification from bilingual word embedding graphs
Steffen Eger, Armin Hoenen and Alexander Mehler(#489)

14. Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen
Aleksandr Drozd, Anna Gladkova and Satoshi Matsuoka(#555)

15. Semantic Tagging with Deep Residual Networks
Johannes Bjerva, Barbara Plank and Johan Bos(#639)
Lexical Semantics, Ontologies

16. A Supervised Approach for Enriching the Relational Structure of Frame Semantics in
FrameNet
Shafqat Mumtaz Virk, Philippe Muller and Juliette Conrath(#77)

17. Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic
Similarity in Social Media using a Topic-based Latent Semantic Analysis
Anh Dang, Abidalrahman Moh'd, Aminul Islam, Rosane Minghim, Michael Smit and Evangelos
Milios(#672)

18. Dictionaries as Networks: Identifying the graph structure of Ogden’s Basic English
Camilo Garrido and Claudio Gutierrez(#1029)19. Structured Generative Models of Continuous Features for Word Sense Induction
Alexandros Komninos and Suresh Manandhar(#1094)

17:45-18:30 Closing (best paper awards)