7.1(top 5%)
impact factor
539(top 50%)
papers
28.7K(top 10%)
citations
74(top 10%)
h-index
7.4(top 5%)
impact factor
646
all documents
30.6K
doc citations
159(top 5%)
g-index
Top Articles
# | Title | Journal | Year | Citations |
---|---|---|---|---|
1 | Enriching Word Vectors with Subword Information | Transactions of the Association for Computational Linguistics | 2017 | 5,304 |
2 | From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions | Transactions of the Association for Computational Linguistics | 2014 | 1,181 |
3 | Named Entity Recognition with Bidirectional LSTM-CNNs | Transactions of the Association for Computational Linguistics | 2016 | 1,135 |
4 | Improving Distributional Similarity with Lessons Learned from Word Embeddings | Transactions of the Association for Computational Linguistics | 2015 | 758 |
5 | SpanBERT: Improving Pre-training by Representing and Predicting Spans | Transactions of the Association for Computational Linguistics | 2020 | 752 |
6 | Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation | Transactions of the Association for Computational Linguistics | 2017 | 678 |
7 | Natural Questions: A Benchmark for Question Answering Research | Transactions of the Association for Computational Linguistics | 2019 | 583 |
8 | ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs | Transactions of the Association for Computational Linguistics | 2016 | 580 |
9 | Grounded Compositional Semantics for Finding and Describing Images with Sentences | Transactions of the Association for Computational Linguistics | 2014 | 508 |
10 | A Primer in BERTology: What We Know About How BERT Works | Transactions of the Association for Computational Linguistics | 2020 | 505 |
11 | Entity Linking meets Word Sense Disambiguation: a Unified Approach | Transactions of the Association for Computational Linguistics | 2014 | 494 |
12 | CoQA: A Conversational Question Answering Challenge | Transactions of the Association for Computational Linguistics | 2019 | 416 |
13 | Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations | Transactions of the Association for Computational Linguistics | 2016 | 370 |
14 | Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies | Transactions of the Association for Computational Linguistics | 2016 | 364 |
15 | Cross-Sentence N-ary Relation Extraction with Graph LSTMs | Transactions of the Association for Computational Linguistics | 2017 | 312 |
16 | Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science | Transactions of the Association for Computational Linguistics | 2018 | 309 |
17 | Neural Network Acceptability Judgments | Transactions of the Association for Computational Linguistics | 2019 | 292 |
18 | Multilingual Denoising Pre-training for Neural Machine Translation | Transactions of the Association for Computational Linguistics | 2020 | 268 |
19 | Topic Modeling in Embedding Spaces | Transactions of the Association for Computational Linguistics | 2020 | 264 |
20 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond | Transactions of the Association for Computational Linguistics | 2019 | 260 |
21 | Constructing Datasets for Multi-hop Reading Comprehension Across Documents | Transactions of the Association for Computational Linguistics | 2018 | 245 |
22 | Grounding Action Descriptions in Videos | Transactions of the Association for Computational Linguistics | 2013 | 234 |
23 | Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions | Transactions of the Association for Computational Linguistics | 2013 | 230 |
24 | Improving Topic Models with Latent Feature Word Representations | Transactions of the Association for Computational Linguistics | 2015 | 225 |
25 | How Can We Know What Language Models Know? | Transactions of the Association for Computational Linguistics | 2020 | 219 |
26 | The NarrativeQA Reading Comprehension Challenge | Transactions of the Association for Computational Linguistics | 2018 | 218 |
27 | Analysis Methods in Neural Language Processing: A Survey | Transactions of the Association for Computational Linguistics | 2019 | 212 |
28 | Fully Character-Level Neural Machine Translation without Explicit Segmentation | Transactions of the Association for Computational Linguistics | 2017 | 211 |
29 | Optimizing Statistical Machine Translation for Text Simplification | Transactions of the Association for Computational Linguistics | 2016 | 210 |
30 | What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models | Transactions of the Association for Computational Linguistics | 2020 | 209 |
31 | T | Transactions of the Association for Computational Linguistics | 2014 | 190 |
32 | KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation | Transactions of the Association for Computational Linguistics | 2021 | 189 |
33 | Leveraging Pre-trained Checkpoints for Sequence Generation Tasks | Transactions of the Association for Computational Linguistics | 2020 | 177 |
34 | Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification | Transactions of the Association for Computational Linguistics | 2018 | 172 |
35 | Problems in Current Text Simplification Research: New Data Can Help | Transactions of the Association for Computational Linguistics | 2015 | 169 |
36 | Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health | Transactions of the Association for Computational Linguistics | 2016 | 167 |
37 | From Paraphrase Database to Compositional Paraphrase Model and Back | Transactions of the Association for Computational Linguistics | 2015 | 162 |
38 | Efficient Content-Based Sparse Attention with Routing Transformers | Transactions of the Association for Computational Linguistics | 2021 | 151 |
39 | A Joint Model for Entity Analysis: Coreference, Typing, and Linking | Transactions of the Association for Computational Linguistics | 2014 | 143 |
40 | Generating Sentences by Editing Prototypes | Transactions of the Association for Computational Linguistics | 2018 | 137 |
41 | Temporal Annotation in the Clinical Domain | Transactions of the Association for Computational Linguistics | 2014 | 131 |
42 | Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation | Transactions of the Association for Computational Linguistics | 2016 | 126 |
43 | Many Languages, One Parser | Transactions of the Association for Computational Linguistics | 2016 | 126 |
44 | A Latent Variable Model Approach to PMI-based Word Embeddings | Transactions of the Association for Computational Linguistics | 2016 | 124 |
45 | T | Transactions of the Association for Computational Linguistics | 2020 | 123 |
46 | Design Challenges for Entity Linking | Transactions of the Association for Computational Linguistics | 2015 | 117 |
47 | Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints | Transactions of the Association for Computational Linguistics | 2017 | 117 |
48 | Measuring the Evolution of a Scientific Field through Citation Frames | Transactions of the Association for Computational Linguistics | 2018 | 113 |
49 | Large-scale Semantic Parsing without Question-Answer Pairs | Transactions of the Association for Computational Linguistics | 2014 | 111 |
50 | Exploiting Social Network Structure for Person-to-Person Sentiment Analysis | Transactions of the Association for Computational Linguistics | 2014 | 110 |