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corpus_clean · 64.2k rows

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full · 64.2k rows

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Query Documents Matching Titles

Creates a table with a limited set of queries and their corresponding document details, useful for exploring the relationship between queries and document content.

Join Queries with Corpus Data

Combines queries with their corresponding documents to show the titles and abstracts of papers related to each query, which helps in understanding the relevance and context of the queries.

corpusid int64 110 268M	title stringlengths 0 8.56k	abstract stringlengths 0 18.4k	citations listlengths 0 142	full_paper stringlengths 0 635k
53,248,322	Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning	Developing conventional natural language generation systems requires extensive attention from human experts in order to craft complex sets of sentence planning rules. We propose a Bayesian nonparametric approach to learn sentence planning rules by inducing synchronous tree substitution grammars for pairs of text plans ...	[ 6241225, 1542925, 14699917, 739696, 16392208, 6380915, 28193461, 18637494, 15747255, 216848664 ]	Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning November 5-8, 2018 David M Howcroft Department of Language Science and Technology Saarland Informatics Campus Saarland University Germany Dietrich Klakow Department of Language Science and Technology Saarland Informatics Campus Saarland Un...
184,483,311	USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings	In this paper, we present a system description for the SemEval-2019 Task 6 submitted by our team. For the task, our system takes tweet as an input and determine if the tweet is offensive or non-offensive (Sub-task A). In case a tweet is offensive, our system identifies if a tweet is targeted (insult or threat) or nonta...	[ 9626793, 67856299, 59336626, 8821211, 84843035 ]	USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings June 6-7, 2019 Bharti Goel Department of Computer Science and Engineering University of South Florida USA Ravi Sharma ravis@mail.usf.edu Department of Computer Science and Engineering University of South Florida USA USF at Sem...
18,827,045	ALICO: A multimodal corpus for the study of active listening	The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners. The annotations consist of short feedback expression transcription with corresponding communicative function interpretation as well as segmentation of ...	[]	ALICO: A multimodal corpus for the study of active listening Hendrik Buschmeier CITEC Faculty of Technology Zofia Malisz CITEC Faculty of Linguistics and Literary Studies Bielefeld University BielefeldGermany Joanna Skubisz Faculty of Linguistics and Literary Studies Bielefeld University BielefeldGermany M...
6,229,041	Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool	This paper describes Vi-xfst, a visual interface and a development environment, for developing finite state language processing applications using the Xerox Finite State Tool, xfst. Vi-xfst lets a user construct complex regular expressions via a drag-anddrop visual interface, treating simpler regular expressions as "Le...	[]	Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool Kemal Oflazer oflazer@sabanciuniv.edu Human Language and Speech Technology Laboratory Sabancı University Istanbul Turkey Yasin Yılmaz yyilmaz@su.sabanciuniv.edu Human Language and Speech Technology Laboratory Sabancı Universit...
16,940,412	Exploiting Sentence Similarities for Better Alignments	We study the problem of jointly aligning sentence constituents and predicting their similarities. While extensive sentence similarity data exists, manually generating reference alignments and labeling the similarities of the aligned chunks is comparatively onerous. This prompts the natural question of whether we can ex...	[ 16714688, 646594, 14488781, 12549805, 1922162, 5219389, 18819637, 61205942, 10181753, 7598842, 11265565, 10048734, 14612319 ]	Exploiting Sentence Similarities for Better Alignments Association for Computational LinguisticsCopyright Association for Computational LinguisticsNovember 1-5, 2016. 2016 Tao Li University of Utah Vivek Srikumar University of Utah Exploiting Sentence Similarities for Better Alignments Proceedings of the 2016 C...
16,987,118	Identifying Cross-Cultural Differences in Word Usage	Personal writings have inspired researchers in the fields of linguistics and psychology to study the relationship between language and culture to better understand the psychology of people across different cultures. In this paper, we explore this relation by developing cross-cultural word models to identify words with ...	[ 3102322, 38166371, 12101738 ]	Identifying Cross-Cultural Differences in Word Usage December 11-17 2016 Aparna Garimella University of Michigan University of Texas at Austin Rada Mihalcea mihalcea@umich.edu University of Michigan University of Texas at Austin James Pennebaker pennebaker@utexas.edu University of Michigan University of Texas a...
259,833,833	Who needs context? Classical techniques for Alzheimer's disease detection	Natural language processing (NLP) has shown great potential for Alzheimer's disease (AD) detection, particularly due to the adverse effect of AD on spontaneous speech. The current body of literature has directed attention toward context-based models, especially Bidirectional Encoder Representations from Transformers (B...	[]	Who needs context? Classical techniques for Alzheimer's disease detection July 14, 2023 Behrad Taghibeyglou behrad.taghibeyglou@mail.utoronto.ca Institute of Biomedical Engineering University of Toronto TorontoCanada KITE-Toronto Rehabilitation Institute University Health Network TorontoCanada Frank Rudzicz Facult...
45,491,946	21 ème Traitement Automatique des Langues Naturelles	Pour une communauté, la terminologie est essentielle car elle permet de décrire, échanger et récupérer les données. Dans de nombreux domaines, l'explosion du volume des données textuelles nécessite de recourir à une automatisation du processus d'extraction de la terminologie, voire son enrichissement. L'extraction auto...	[ 13533556, 5629501, 120148 ]	21 ème Traitement Automatique des Langues Naturelles 2014 Juan Antonio Lossio-Ventura Université de Montpellier 2 CNRS Montpellier -France (2) IrsteaCirad TETIS MontpellierFrance Clement Jonquet clement.jonquet@lirmm.fr Université de Montpellier 2 CNRS Montpellier -France (2) IrsteaCirad TETIS MontpellierFrance ...
44,056,690	Apertium-IceNLP: A rule-based Icelandic to English machine translation system	We describe the development of a prototype of an open source rule-based Icelandic→English MT system, based on the Apertium MT framework and IceNLP, a natural language processing toolkit for Icelandic. Our system, Apertium-IceNLP, is the first system in which the whole morphological and tagging component of Apertium is ...	[ 16849905, 1452591 ]	Apertium-IceNLP: A rule-based Icelandic to English machine translation system Martha Dís Brandt marthab08@ru.is School of Computer Science Dept. Lleng. i. Sist. Inform. Universitat d'Alacant E Reykjavik University IS-101, 03071Reykjavik, AlacantIceland, Spain Hrafn Loftsson School of Computer Science Dept. Lleng. ...
15,035,128	A Natural Language Instructor for pedestrian navigation based in generation by selection	In this paper we describe a method for developing a virtual instructor for pedestrian navigation based on real interactions between a human instructor and a human pedestrian. A virtual instructor is an agent capable of fulfilling the role of a human instructor, and its goal is to assist a pedestrian in the accomplishme...	[ 13019171, 11006357 ]	A Natural Language Instructor for pedestrian navigation based in generation by selection Association for Computational LinguisticsCopyright Association for Computational LinguisticsApril 26-30 2014. 2014 Santiago Avalos santiagoe.avalos@gmail.com LIIS Group FaMAF Universidad Nacional de Córdoba Córdoba Argentina Luc...
51,884,041	An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing	We present results from a project on sentiment analysis of drama texts, more concretely the plays of Gotthold Ephraim Lessing. We conducted an annotation study to create a gold standard for a systematic evaluation. The gold standard consists of 200 speeches of Lessing's plays and was manually annotated with sentiment i...	[ 1260035, 14547272, 1223945, 14392363, 17528363, 1677808, 6410482, 7100691, 14350387, 2113526, 20587930, 12245213 ]	An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing August 25. 2018 Thomas Schmidt thomas.schmidt@ur.de Media Informatics Group Computational Humanities Group Leipzig University Regensburg University 93040, 04109Regensburg, LeipzigGermany, Germany Manuel Burghardt ...
171,755,024			[]	Alignement de séquences phonétiques pour une analyse phonologique des erreurs de transcription automatique Camille Dutrey camille.dutrey@lne.fr Laboratoire de Phonétique et Phonologie (LPP) 19 rue des BernardinsParisFrance ( Laboratoire National de Métrologie et d'Essais (LNE) 29 avenue Roger HennequinTrappesFrance...
15,650,401	Idioms: Formally Flexible but Semantically Non-transparent	Contrary to popular beliefs, idioms show a high degree of formal flexibility, ranging from word-like idioms to those which are like almost regular phrases. However, we argue that their meanings are not transparent, i.e. they are non-compositional, regardless of their syntactic flexibility. In this paper, firstly, we wi...	[]	Idioms: Formally Flexible but Semantically Non-transparent Hee-Rahk Chae hrchae@hufs.ac.kr Hankuk Univ. of Foreign Studies Oedae-ro 81 17035MohyeonYongin GyeonggiKorea Idioms: Formally Flexible but Semantically Non-transparent Contrary to popular beliefs, idioms show a high degree of formal flexibility, ranging fr...
249,204,499	Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context	We address the task of automatically distinguishing between human-translated (HT) and machine translated (MT) texts. Following recent work, we fine-tune pretrained language models (LMs) to perform this task. Our work differs in that we use state-of-the-art pre-trained LMs, as well as the test sets of the WMT news share...	[ 209202658, 208117506, 6252612, 52967399, 94792, 219531210, 227230699, 204960716, 201741133, 201684632, 207853304, 235097298, 22032884, 234358004, 207880568 ]	Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context Tobias Van Der Werff t.n.van.der.werff@student.rug.nl Bernoulli Institute University of Groningen CLCG University of Groningen CLCG University of Groningen Rik Van Noord rikvannoord@gmail.c...
324,062	Automatic Verb Extraction from Historical Swedish Texts	Even though historical texts reveal a lot of interesting information on culture and social structure in the past, information access is limited and in most cases the only way to find the information you are looking for is to manually go through large volumes of text, searching for interesting text segments. In this pap...	[ 1452591, 1075199 ]	Automatic Verb Extraction from Historical Swedish Texts Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 2011. 2011 Eva Pettersson eva.pettersson@lingfil.uu.se Department of Linguistics and Philology Department of Linguistics and Philology Uppsala University Swedish Nat...
51,616,502	Briefly Noted Opinion Mining and Sentiment Analysis		[]	Briefly Noted Opinion Mining and Sentiment Analysis 2008 Bo Pang Yahoo! Research Cornell University Boston Lillian Lee Yahoo! Research Cornell University Boston Briefly Noted Opinion Mining and Sentiment Analysis Foundations and Trends in Information Retrieval 21-22008: Now Publishers, 2008, x+137 pp; paperbound,...
15,230,543	Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules	Published literature in molecular genetics may collectively provide much information on gene regulation networks. Dedicated computational approaches are required to sip through large volumes of text and infer gene interactions. We propose a novel sieve-based relation extraction system that uses linear-chain conditional...	[ 1671874, 12053891, 10298501, 15696523, 14755732, 725590, 6825083, 7180956, 6983197 ]	Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules August 9 Slavkožitnik † ‡ Marinkažitnik Faculty of Computer and Information Science University of Ljubljana Tržaška cesta 25, Dunajska cesta 152SI-1000, SI-1000Ljubljana, Ljubljana Blaž Zupan Faculty of Computer and Informati...
241,583,381	Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios	We propose a personalized dialogue scenario generation system which transmits efficient and coherent information with a real-time extractive summarization method optimized by an Ising machine. The summarization problem is formulated as a quadratic unconstraint binary optimization (QUBO) problem, which extracts sentence...	[ 81603, 1234375, 8896392, 18632604, 21713993, 13374927, 6174034, 219036690, 12754074, 16076764 ]	Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios November 10, 2021 Hiroaki Takatsu takatsu@pcl.cs.waseda.ac.jpkashikawa Waseda University TokyoJapan Takahiro Kashikawa FUJITSU LIMITED KanagawaJapan Koichi Kimura k.kimura@jp.fujit...
4,948,776	Improving Speculative Language Detection using Linguistic Knowledge	In this paper we present an iterative methodology to improve classifier performance by incorporating linguistic knowledge, and propose a way to incorporate domain rules into the learning process. We applied the methodology to the tasks of hedge cue recognition and scope detection and obtained competitive results on a p...	[ 15491194, 10761611, 7930447, 18343028, 14517365, 13986201, 779066, 1692763 ]	Improving Speculative Language Detection using Linguistic Knowledge Association for Computational LinguisticsCopyright Association for Computational Linguistics13 July 2012. 2012 Guillermo Moncecchi Facultad de Ingeniería Laboratoire MoDyCo Universidad de la República Montevideo Uruguay Jean-Luc Minel Facultad de I...
902,939	Learning the Taxonomy of Function Words for Parsing	Completely data-driven grammar training is prone to over-fitting. Human-defined word class knowledge is useful to address this issue. However, the manual word class taxonomy may be unreliable and irrational for statistical natural language processing, aside from its insufficient linguistic phenomena coverage and domain...	[ 1671874, 8526025, 18297290, 1123594, 6684426, 6785675, 9359466, 35229587, 12061046, 9904828, 14711007 ]	Learning the Taxonomy of Function Words for Parsing August 23-29 2014 Dongchen Li Key Laboratory of Machine Perception and Intelligence Speech and Hearing Research Center Peking University BeijingChina Dingsheng LuoXiantao Zhang zhangxt@cis.pku.edu.cn Key Laboratory of Machine Perception and Intelligence Speech and...
12,738,488	Input Specification in the WAG Sentence Generation System	This paper describes the input specification language of the WAG Sentence Generation system. The input is described in terms ofHalliday's (1978)three meaning components, ideational meaning (the propositional content to be expressed), interactional meaning (what the speaker intends the listener to do in making the utter...	[ 1380342, 6560286 ]	Input Specification in the WAG Sentence Generation System Michael O'donnell emaihmicko@aisb.ed.ac.uk Department of AI University of Edinburgh 80 South BridgeEH1 1HNEdinburghUK Input Specification in the WAG Sentence Generation System This paper describes the input specification language of the WAG Sentence Ge...
6,605,684	The role of named entities in Web People Search	The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search results (returned in response to a person name query) according to the individual they mention. In this paper we compare the coverage, reliabi...	[ 6819305, 7296233, 5836395, 11869422, 14979087, 29759924, 5079736 ]	The role of named entities in Web People Search August 2009. 2009 Javier Artiles Enrique Amigó enrique@lsi.uned.es Julio Gonzalo UNED NLP & IR group Madrid UNED NLP & IR group Madrid Spain, Spain UNED NLP & IR group Madrid Spain The role of named entities in Web People Search ACL and AFNLP the 2009 Conference ...
249,204,470	Domain Adaptation for Neural Machine Translation	The development of deep learning techniques has allowed Neural Machine Translation (NMT) models to become extremely powerful, given sufficient training data and training time. However, such translation models struggle when translating text of a new or unfamiliar domain(Koehn and Knowles, 2017). A domain may be a well-d...	[]	Domain Adaptation for Neural Machine Translation Danielle Saunders ds636@cantab.ac.uk Department of Engineering University of Cambridge Cambridge UK Domain Adaptation for Neural Machine Translation The development of deep learning techniques has allowed Neural Machine Translation (NMT) models to become extremely p...
6,552,261	Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews	Current work on automatic opinion mining has ignored opinion targets expressed by anaphorical pronouns, thereby missing a significant number of opinion targets. In this paper we empirically evaluate whether using an off-the-shelf anaphora resolution algorithm can improve the performance of a baseline opinion mining sys...	[ 3264224, 5299685, 631855, 6089013, 10977241 ]	Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews Association for Computational LinguisticsCopyright Association for Computational LinguisticsJuly 2010. 2010 Niklas Jakob Iryna Gurevych Technische Universität Darmstadt Hochschulstraße 10 64289Darmstadt Technische Universität Darmsta...
220,047,307	Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts	Despite the pervasiveness of clinical depression in modern society, professional help remains highly stigmatized, inaccessible, and expensive. Accurately diagnosing depression is difficult-requiring time-intensive interviews, assessments, and analysis. Hence, automated methods that can assess linguistic patterns in the...	[ 8184643, 17206686, 106054, 52967399, 190000008, 41240466, 52136564, 16839927, 1957433, 16504570, 207916220, 18498622 ]	Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts Association for Computational LinguisticsCopyright Association for Computational LinguisticsJuly 5 -10, 2020. 2020 Alex Rinaldi arinaldi@ucsc.edu Jean E Fox Tree Snigdha Chaturvedi snigdha@cs.unc.edu Department of Compute...
203,200,649			[]	Prediction of a Movie's Success From Plot Summaries Using Deep Learning Models August 1 Jin Kim Department of Applied Data Science College of Computing Sungkyunkwan University Suwon-si South Korea Jung-Hoon Lee College of Computing Sungkyunkwan University Suwon-si South Korea Yun-Gyung Cheong Sungkyunkwan Univers...
8,855,547	GENERATION OF NOUN COMPOUNDS IN HEBREW: CAN SYNTACTIC KNOWLEDGE BE FULLY ENCAPSULATED?	Hebrew •includes a very productive noun-compounding construction called smixut. Because smixut is marked morphologically and is restricted by many syntactic constraints, it has been the focus of many descriptive studies in Hebrew grammar.We present the treatment of smixut in HUGG, a FUF-based syntactic realization syst...	[ 161068 ]	GENERATION OF NOUN COMPOUNDS IN HEBREW: CAN SYNTACTIC KNOWLEDGE BE FULLY ENCAPSULATED? Yael Dahan Netzer Michael Elhadad Ben Gurion University Department of Mathematics and Computer Science 84105Beer ShevaIsrael GENERATION OF NOUN COMPOUNDS IN HEBREW: CAN SYNTACTIC KNOWLEDGE BE FULLY ENCAPSULATED? Hebrew •in...
36,544,987	Understanding of unknown medical words	We assume that unknown words with internal structure (affixed words or compounds) can provide speakers with linguistic cues as for their meaning, and thus help their decoding and understanding. To verify this hypothesis, we propose to work with a set of French medical words. These words are annotated by five annotators...	[ 41776385, 164434668 ]	Understanding of unknown medical words 8 September 2017 Natalia Grabar natalia.grabar@univ-lille3.fr Thierry Hamon hamon@limsi.fr UMR 8163 STL CNRS Université Lille 3 59653Villeneuve d'AscqFrance LIMSI CNRS Université Paris-Saclay OrsayFrance Université Paris 13, Sorbonne Paris CitéVilletaneuseFrance Understan...
18,782,861	From ranked words to dependency trees: two-stage unsupervised non-projective dependency parsing	Usually unsupervised dependency parsing tries to optimize the probability of a corpus by modifying the dependency model that was presumably used to generate the corpus. In this article we explore a different view in which a dependency structure is among other things a partial order on the nodes in terms of centrality o...	[ 6745820, 10943559, 259144, 567820, 2862221, 3087412, 1364249, 6681594, 252796, 4357791 ]	From ranked words to dependency trees: two-stage unsupervised non-projective dependency parsing Association for Computational LinguisticsCopyright Association for Computational LinguisticsJune 2011. 2011 Anders Søgaard soegaard@hum.ku.dk Center for Language Technology University of Copenhagen From ranked words to d...
10,767,908	Competitive Grammar Writing *	Just as programming is the traditional introduction to computer science, writing grammars by hand is an excellent introduction to many topics in computational linguistics. We present and justify a well-tested introductory activity in which teams of mixed background compete to write probabilistic context-free grammars o...	[]	Competitive Grammar Writing * Jason Eisner Department of Computer Science Johns Hopkins University Baltimore 21218MDUSA Noah A Smith nasmith@cs.cmu.edu Language Technologies Institute Carnegie Mellon University Pittsburgh 15213PAUSA Competitive Grammar Writing * Just as programming is the traditional introductio...
219,310,197			[]	Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language May 2020 Xing Liang x.liang@greenwich.ac.uk Bencie Woll b.woll@ucl.ac.uk Epaminondas Kapetanios Anastasia Angelopoulou Reda Al IoT and Security Research Group Cognitive Computing Research Lab University of Greenwich...
29,077,435	Phonemic transcription of low-resource tonal languages	Transcription of speech is an important part of language documentation, and yet speech recognition technology has not been widely harnessed to aid linguists. We explore the use of a neural network architecture with the connectionist temporal classification loss function for phonemic and tonal transcription in a languag...	[ 14289184, 33570940 ]	Phonemic transcription of low-resource tonal languages 2017. Dec 2017 Oliver Adams Trevor Cohn Graham Neubig Alexis Michaud Oliver Adams Trevor Cohn Graham Neubig Alexis Michaud Oliver Adams Computing and Information Systems The University of Melbourne Australia Trevor Cohn Computing and Information Systems...
220,059,524			[]	SUPP.AI: Finding Evidence for Supplement-Drug Interactions Association for Computational LinguisticsCopyright Association for Computational LinguisticsJuly 5 -July 10, 2020. 2020 Lucy Lu Wang lucyw@allenai.org Allen Institute for AI Seattle 98103WA Oyvind Tafjord oyvindt@allenai.org Allen Institute for AI Seattle 9...
44,245,205	The IATE Project -Towards a Single Terminology Database For the European Union PART ONE: CURRENT STATUS OF THE IATE PROJECT	The IATE project was launched in early 2000 for the creation of a single central terminology database for all the institutions, agencies and other bodies of the European Union. By mid-2001, it had reached the prototype phase. It is evident that the attempt of uniting the terminology that has been created in different i...	[]	The IATE Project -Towards a Single Terminology Database For the European Union PART ONE: CURRENT STATUS OF THE IATE PROJECT 30 November 2001 D Rummel Translation Centre for Bodies of the EU 1, r. du Fort ThuengenL-1499Luxembourg & S Ball sball@europarl.eu.int European Parliament Translation Service L-2929Luxemb...
2,294,286	A Robust Retrieval Engine for Proximal and Structural Search		[]	A Robust Retrieval Engine for Proximal and Structural Search Katsuya Masuda kmasuda@is.s.u-tokyo.ac.jp Department of Computer Science Graduate School of Information Science and Technology University of Tokyo Hongo 7-3-1, Bunkyo-ku113-0033TokyoJapan Takashi Ninomiya ninomi@is.s.u-tokyo.ac.jp Department of Computer ...
2,913,101	Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation	We introduce a word segmentation approach to languages where word boundaries are not orthographically marked, with application to Phrase-Based Statistical Machine Translation (PB-SMT). Instead of using manually segmented monolingual domain-specific corpora to train segmenters, we make use of bilingual corpora and stati...	[ 2420674, 11644259, 549380, 207624, 6566858, 1324511, 8884845, 11470521, 7164502, 14973625, 1896507, 5219389, 215987999 ]	Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation Yanjun Ma National Centre for Language Technology School of Computing Dublin City University Dublin 9Ireland Andy Way away@computing.dcu.ie National Centre for Language Technology School of Computing Dublin City University D...
18,968,839	Constructing a Corpus of Japanese Predicate Phrases for Synonym/Antonym Relations	We construct a large corpus of Japanese predicate phrases for synonym-antonym relations. The corpus consists of 7,278 pairs of predicates such as "receive-permission (ACC)" vs. "obtain-permission (ACC)", in which each predicate pair is accompanied by a noun phrase and case information. The relations are categorized as ...	[ 17030297, 1671874 ]	Constructing a Corpus of Japanese Predicate Phrases for Synonym/Antonym Relations Tomoko Izumi izumi.tomoko@lab.ntt.co.jp Tomohide Shibata shibata@i.kyoto-u.ac.jp Graduate School of Informatics Kyoto University Yoshida-honmachi Sakyo-ku KyotoJapan Hisako Asano asano.hisako@lab.ntt.co.jp Yoshihiro Matsuo matsuo.yo...
252,847,514	A Visually-Aware Conversational Robot Receptionist	Socially Assistive Robots (SARs) have the potential to play an increasingly important role in a variety of contexts including healthcare, but most existing systems have very limited interactive capabilities. We will demonstrate a robot receptionist that not only supports task-based and social dialogue via natural spoke...	[ 56657857, 2432046 ]	A Visually-Aware Conversational Robot Receptionist September, 2022 Nancie Gunson n.gunson@hw.ac.uk School of Mathematical and Computer Sciences Interaction Lab Heriot-Watt University EdinburghScotland, UK Daniel Hernandez Garcia d.hernandez_garcia@hw.ac.uk School of Mathematical and Computer Sciences Interaction La...
12,617,502	PROCESSING OF SYNTAX AND SEMANTICS OF NATURAL LANGUAGE BY PREDICATE LOGIC	The syntax and semantic analyses of natural language are described from the standpoint of manmachine communication. The knowledge based system KAUS(Knowledge Acquisition and Utilization System) which has capabilities of deductive inference and automatic program generation of database access is utilized for that purpose...	[]	PROCESSING OF SYNTAX AND SEMANTICS OF NATURAL LANGUAGE BY PREDICATE LOGIC Hiroyuki Yamauchi Institute of Space and Aeronautical Science University of Tokyo 4-6-1 Komaba, Meguro-ku153TokyoJapan PROCESSING OF SYNTAX AND SEMANTICS OF NATURAL LANGUAGE BY PREDICATE LOGIC The syntax and semantic analyses of natural lang...
257,985,687	Une approche fondée sur les lexiques d'analyse de sentiments du dialecte algérien	La plupart des outils d'analyse de sentiments traitent essentiellement l'arabe standard moderne (ASM), et peu d'entre eux ne prennent en considération les dialectes. À notre connaissance, aucun outil en libre accès n'est disponible concernant l'analyse de sentiments de textes écrits en dialecte algérien. Cet article pr...	[ 13886408, 3181362, 6891645 ]	Une approche fondée sur les lexiques d'analyse de sentiments du dialecte algérien Imane Guellil i_guellil@esi.dz http://www.esi.dz * École Supérieure des Sciences Appliquées d'Alger Laboratoire des Méthodes de Conception des Systèmes. École nationale Supérieure d'Informatique Oued-Smar BP 68M, 16309AlgerAlgérie * -...