NAACL2022 - pickup

https://2022.naacl.org/program/accepted_papers/

Entity

NER

  • Wu+'22 - Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting (NAACL) [arXiv]
  • Fetahu+'22 - Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition (NAACL) [AmazonScience]
  • Wang+'22 - Sentence-Level Resampling for Named Entity Recognition (NAACL) [openreview]
  • Hu+'22 - Hero-Gang Neural Model For Named Entity Recognition (NAACL) [arXiv]
  • Pasad+'22 - On the Use of External Data for Spoken Named Entity Recognition (NAACL) [arXiv]
  • Ying+'22 - Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition (NAACL)
  • Gu+'22 - Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition (NAACL) [arXiv]
  • Shao+'22 - Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text (NAACL) [acsweb]
  • Tedeschi+'22 - MultiNER: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (NAACL)
  • Shrimal+'22 - NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension (NAACL) [arXiv]

Relation

  • Agarwal+'22 - Entity Linking via Explicit Mention-Mention Coreference Modeling (NAACL) [openreview]
  • Wang+'22 - Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis (NAACL) [arXiv]
  • Hakami+'22 - Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion (NAACL) [arXiv]
  • Xu+'22 - Modeling Explicit Task Interactions in Document-Level Joint Entity and Relation Extraction (NAACL) [arXiv]
  • Yuan+'22 - Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning (NAACL) [arXiv]
  • Chai+'22 - Incorporating Centering Theory into Entity Coreference Resolution (NAACL)
  • Yu+'22 - Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction [arXiv]
  • Bhargav+'22 - Zero-shot Entity Linking with Less Data (NAACL) [arXiv]
  • Liu+'22 - Dangling-Aware Entity Alignment with Mixed High-Order Proximities (NAACL) [arXiv]
  • Ayoola+'22 - ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking (NAACL) [AmazonScience]
  • Laskar+'22 - BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations (NAACL) [arXiv]

Embeddings, Robustness

  • Nishikawa+'22 - EASE: Entity-Aware Contrastive Learning of Sentence Embedding (NAACL) [arXiv]
  • Ayoola+'22 - Improving Entity Disambiguation by Reasoning over a Knowledge Base (NAACL) [AmazonScience]
  • Yan+'22 - On the Robustness of Reading Comprehension Models to Entity Renaming (NAACL) [arXiv]
  • Yamada+'22 - Global Entity Disambiguation with BERT [arXiv]
  • Onoe+'22 - Entity Cloze By Date: Understanding what LMs know about unseen entities (NAACL) [arXiv]

Others

  • Deeksha+'22 - Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation (NAACL) [arXiv]
  • Schuster+'22 - When a sentence does not introduce a discourse entity, Transformer-based models still often refer to it (NAACL) [arXiv]
  • Zhang+'22 - Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control (NAACL)

Multi-Modal

  • Wang+'22 - ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition (NAACL) [arXiv]
  • Chen+'22 - Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction (NAACL) [paperswithcode]

Sentiment Analysis

  • Zhang+'22 - SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis (NAACL) [[ar
  • Toledo-Ronen+'22 - Multi-Domain Targeted Sentiment Analysis (NAACL) [arXiv]
  • Cao+'22 - Aspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis (NAACL)
  • Mireshghallah+'22 - UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis (NAACL) [arXiv]
  • Liu+'22 - A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction (NAACL) [[arXiv]
  • Liu+'22 - A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict (NAACL) [arXiv]
  • Hosseini-Asl+'22 - A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis (NAACL) [arXiv]
  • Ahbali+'22 - Identifying Corporate Credit Risk Sentiments from Financial News (NAACL) [openreview]

Multi-Modal

  • Hazarika+'22 - Analyzing Modality Robustness in Multimodal Sentiment Analysis (NAACL) [arXiv]
  • Li+'22 - CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection (NAACL) [arXiv]

Question Answering

QA

  • Pang+'22 - QuALITY: Question Answering with Long Input Texts, Yes! (NAACL) [arXiv]
  • Sun+'22 - JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering (NAACL) [arXiv]
  • Zhao+'22 - Compositional Task-Oriented Parsing as Abstractive Question Answering (NAACL) [arXiv]
  • Zhou+'22 - Consolidating Answers in Question Answering Systems (NAACL) [arXiv]
  • Zhong+'22 - ProQA: Structural Prompt-based Pre-training for Unified Question Answering (NAACL) [arXiv]
  • Wang+'22 - Modeling Exemplification in Long-form Question Answering via Retrieval (NAACL) [arXiv]
  • Lee+'22 - CS1QA: A Dataset for Code-based Question Answering in an Introductory Programming Course (NAACL)
  • Li+'22 - MultiSpanQA: A Dataset for Multi-Span Question Answering (NAACL)
  • Caciularu+'22 - Question-Evidence Similarity Learning for Long-Context Question Answering (NAACL)
  • Wang+'22 - Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs (NAACL) [arXiv]
  • Huber+'22 - CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training (NAACL) [arXiv]
  • Zhu+'22 - Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training (NAACL)
  • Limkonchotiwat+'22 - CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question Answering (NAACL) [openreview]
  • Qian+'22 - Capturing Conversational Interaction for Question Answering via Global History Reasoning (NAACL)
  • Liu+'22 - Challenges in Generalization in Open Domain Question Answering (NAACL) [arXiv]
  • Kim+'22 - Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering (NAACL)

Reading Comprehension

  • Zhao+'22 - TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages (NAACL) [arXiv]
  • Yan+'22 - On the Robustness of Reading Comprehension Models to Entity Renaming (NAACL) [arXiv]
  • Hao+'22 - Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding (NAACL) [openreview]
  • Mingye+'22 - Cooperative Self-training of Machine Reading Comprehension (NAACL) [openreview]
  • Wu+'22 - Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation [arXiv]
  • Ji+'22 - To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
  • Shrimal+'22 - NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension (NAACL) [arXiv]
  • Oguz+'22 - UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering (NAACL) [arXiv]
  • Murakhovs'ka+'22 - MixQG: Neural Question Generation with Mixed Answer Types (NAACL) [arXiv]
  • Qi+'22 - All Information is Valuable: Question Matching over Full Information Transmission Network (NAACL)
  • Liu+'22 - Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering
  • Dutt+'22 - PerKGQA: Question Answering over Personalized Knowledge Graphs (NAACL) [AmazonScience]
  • Feng+'22 - Multi-Hop Open-Domain Question Answering over Structured andUnstructured Knowledge (NAACL)
  • Laban+'22 - Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation (NAACL) [arXiv]
  • Mitra+'22 - Constraint-based Multi-hop Question Answering with Knowledge Graph (NAACL)

Table

  • Jiang+'22 - OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering (NAACL)
  • Zhang+'22 - Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base
  • Katsis+'22 - AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry (NAACL) [arXiv]

SQL

  • Wolfson+'22 - Weakly Supervised Text-to-SQL Parsing through Question Decomposition (NAACL) [arXiv]

Multi-Modal

  • Mao+'22 - Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering (NAACL)
  • Vedd+'22 - Guiding Visual Question Generation (NAACL) [arXiv]
  • You+'22 - End-to-end Spoken Conversational Question Answering: Task, Dataset and Model (NAACL) [arXiv]

Retrieval

  • Santhanam+'22 - Maize: Effective and Efficient Retrieval via Lightweight Late Interaction (NAACL) [arXiv]
  • Wang+'22 - GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval (NAACL) [arXiv]
  • Wang+'22 - Modeling Exemplification in Long-form Question Answering via Retrieval (NAACL) [arXiv]
  • Kim+'22 - Collective Self-Labeling for Passage Retrieval (NAACL) [arXiv]
  • Shi+'22 - Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation (NAACL) [research.ibm]
  • Limkonchotiwat+'22 - CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question Answering (NAACL) [openreview]
  • Oguz+'22 - Domain-matched Pre-training Tasks for Dense Retrieval (NAACL) [arXiv]
  • Gao+'22 - Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training (NAACL) [arXiv]
  • Ribeiro+'22 - Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner (NAACL) [arXiv]
  • Biswas+'22 - Retrieval Based Response Letter Generation For a Customer Care Setting (NAACL)
  • Wan+'22 - Fast and Light-Weight Answer Text Retrieval in Dialogue Systems (NAACL) [zhuanzhi]

ITR

  • Ren+'22 - Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image Retrieval (NAACL) [arXiv]
  • Fan+'22 - Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval (NAACL) [semanticsholar]
  • Liu+'22 - Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval (NAACL)

Active Learning

  • Zhang+'22 - ALLSH: Active Learning Guided by Local Sensitivity and Hardness (NAACL) [arXiv]
  • Tsvigun+'22 - Towards Computationally Feasible Deep Active Learning (NAACL) [arXiv]