EMNLP
Collection
Accepted papers for EMNLP (Conference on Empirical Methods in Natural Language Processing), one dataset per year. • 13 items • Updated
title stringlengths 16 142 | paper_url stringlengths 43 45 | authors listlengths 1 45 | abstract large_stringlengths 346 1.74k ⌀ | anthology_id stringlengths 17 19 | doi stringlengths 29 31 | award stringclasses 0
values | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
values | embedding listlengths 768 768 |
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Generative Knowledge Graph Construction: A Review | https://aclanthology.org/2022.emnlp-main.1/ | [
"Hongbin Ye",
"Ningyu Zhang",
"Hui Chen",
"Huajun Chen"
] | Generative Knowledge Graph Construction (KGC) refers to those methods that leverage the sequence-to-sequence framework for building knowledge graphs, which is flexible and can be adapted to widespread tasks. In this study, we summarize the recent compelling progress in generative knowledge graph construction. We presen... | 2022.emnlp-main.1 | 10.18653/v1/2022.emnlp-main.1 | null | 2210.12714 | title_snapshot | [
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CDConv: A Benchmark for Contradiction Detection in Chinese Conversations | https://aclanthology.org/2022.emnlp-main.2/ | [
"Chujie Zheng",
"Jinfeng Zhou",
"Yinhe Zheng",
"Libiao Peng",
"Zhen Guo",
"Wenquan Wu",
"Zheng-Yu Niu",
"Hua Wu",
"Minlie Huang"
] | Dialogue contradiction is a critical issue in open-domain dialogue systems. The contextualization nature of conversations makes dialogue contradiction detection rather challenging. In this work, we propose a benchmark for Contradiction Detection in Chinese Conversations, namely CDConv. It contains 12K multi-turn conver... | 2022.emnlp-main.2 | 10.18653/v1/2022.emnlp-main.2 | null | 2210.08511 | title_snapshot | [
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Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space | https://aclanthology.org/2022.emnlp-main.3/ | [
"Mor Geva",
"Avi Caciularu",
"Kevin Wang",
"Yoav Goldberg"
] | Transformer-based language models (LMs) are at the core of modern NLP, but their internal prediction construction process is opaque and largely not understood. In this work, we make a substantial step towards unveiling this underlying prediction process, by reverse-engineering the operation of the feed-forward network ... | 2022.emnlp-main.3 | 10.18653/v1/2022.emnlp-main.3 | null | 2203.14680 | title_snapshot | [
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Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation | https://aclanthology.org/2022.emnlp-main.4/ | [
"Qifan Wang",
"Li Yang",
"Xiaojun Quan",
"Fuli Feng",
"Dongfang Liu",
"Zenglin Xu",
"Sinong Wang",
"Hao Ma"
] | Automatic question generation (AQG) is the task of generating a question from a given passage and an answer. Most existing AQG methods aim at encoding the passage and the answer to generate the question. However, limited work has focused on modeling the correlation between the target answer and the generated question. ... | 2022.emnlp-main.4 | 10.18653/v1/2022.emnlp-main.4 | null | null | null | [
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Graph-based Model Generation for Few-Shot Relation Extraction | https://aclanthology.org/2022.emnlp-main.5/ | [
"Wanli Li",
"Tieyun Qian"
] | Few-shot relation extraction (FSRE) has been a challenging problem since it only has a handful of training instances. Existing models follow a ‘one-for-all’ scheme where one general large model performs all individual N-way-K-shot tasks in FSRE, which prevents the model from achieving the optimal point on each task. In... | 2022.emnlp-main.5 | 10.18653/v1/2022.emnlp-main.5 | null | null | null | [
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Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling | https://aclanthology.org/2022.emnlp-main.6/ | [
"Ki Yoon Yoo",
"Nojun Kwak"
] | Recent advances in federated learning have demonstrated its promising capability to learn on decentralized datasets. However, a considerable amount of work has raised concerns due to the potential risks of adversaries participating in the framework to poison the global model for an adversarial purpose. This paper inves... | 2022.emnlp-main.6 | 10.18653/v1/2022.emnlp-main.6 | null | 2204.14017 | title_snapshot | [
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Generating Natural Language Proofs with Verifier-Guided Search | https://aclanthology.org/2022.emnlp-main.7/ | [
"Kaiyu Yang",
"Jia Deng",
"Danqi Chen"
] | Reasoning over natural language is a challenging problem in NLP. In this work, we focus on proof generation: Given a hypothesis and a set of supporting facts, the model generates a proof tree indicating how to derive the hypothesis from supporting facts. Compared to generating the entire proof in one shot, stepwise gen... | 2022.emnlp-main.7 | 10.18653/v1/2022.emnlp-main.7 | null | 2205.12443 | title_snapshot | [
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Toward Unifying Text Segmentation and Long Document Summarization | https://aclanthology.org/2022.emnlp-main.8/ | [
"Sangwoo Cho",
"Kaiqiang Song",
"Xiaoyang Wang",
"Fei Liu",
"Dong Yu"
] | Text segmentation is important for signaling a document’s structure. Without segmenting a long document into topically coherent sections, it is difficult for readers to comprehend the text, let alone find important information. The problem is only exacerbated by a lack of segmentation in transcripts of audio/video reco... | 2022.emnlp-main.8 | 10.18653/v1/2022.emnlp-main.8 | null | 2210.16422 | title_snapshot | [
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The Geometry of Multilingual Language Model Representations | https://aclanthology.org/2022.emnlp-main.9/ | [
"Tyler A. Chang",
"Zhuowen Tu",
"Benjamin K. Bergen"
] | We assess how multilingual language models maintain a shared multilingual representation space while still encoding language-sensitive information in each language. Using XLM-R as a case study, we show that languages occupy similar linear subspaces after mean-centering, evaluated based on causal effects on language mod... | 2022.emnlp-main.9 | 10.18653/v1/2022.emnlp-main.9 | null | 2205.10964 | title_snapshot | [
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Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment | https://aclanthology.org/2022.emnlp-main.10/ | [
"Yechun Tang",
"Xiaoxia Cheng",
"Weiming Lu"
] | Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions. However, there is a significant semantic and structural gap between natural language and action sequences, which makes this conversion difficult. In this paper, we introduce an alignment-enhanced comp... | 2022.emnlp-main.10 | 10.18653/v1/2022.emnlp-main.10 | null | 2212.13036 | title_snapshot | [
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PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing | https://aclanthology.org/2022.emnlp-main.11/ | [
"Do June Min",
"Verónica Pérez-Rosas",
"Kenneth Resnicow",
"Rada Mihalcea"
] | Counselor reflection is a core verbal skill used by mental health counselors to express understanding and affirmation of the client’s experience and concerns. In this paper, we propose a system for the analysis of counselor reflections. Specifically, our system takes as input one dialog turn containing a client prompt ... | 2022.emnlp-main.11 | 10.18653/v1/2022.emnlp-main.11 | null | null | null | [
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... |
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