| Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages. | 0 | 0.34 | 2022 |
| Position Information in Transformers: An Overview. | 0 | 0.34 | 2022 |
| Graph Neural Networks for Multiparallel Word Alignment | 0 | 0.34 | 2022 |
| Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. | 0 | 0.34 | 2022 |
| CaMEL: Case Marker Extraction without Labels. | 0 | 0.34 | 2022 |
| Generating Datasets with Pretrained Language Models. | 0 | 0.34 | 2021 |
| Semantic Text Segment Classification of Structured Technical Content. | 0 | 0.34 | 2021 |
| Semi-Automated Labeling of Requirement Datasets for Relation Extraction. | 0 | 0.34 | 2021 |
| Static Embeddings as Efficient Knowledge Bases? | 0 | 0.34 | 2021 |
| Continuous Entailment Patterns for Lexical Inference in Context. | 0 | 0.34 | 2021 |
| Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP | 0 | 0.34 | 2021 |
| It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners | 0 | 0.34 | 2021 |
| Explainable and Discourse Topic-aware Neural Language Understanding | 0 | 0.34 | 2020 |
| TopicBERT for Energy Efficient Document Classification | 0 | 0.34 | 2020 |
| Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations. | 0 | 0.34 | 2020 |
| Rare Words: A Major Problem For Contextualized Embeddings And How To Fix It By Attentive Mimicking | 0 | 0.34 | 2020 |
| SimAlign - High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings. | 0 | 0.34 | 2020 |
| Fine-Grained Argument Unit Recognition And Classification | 1 | 0.35 | 2020 |
| Trendnert: A Benchmark For Trend And Downtrend Detection In A Scientific Domain | 0 | 0.34 | 2020 |
| Are Pretrained Language Models Symbolic Reasoners over Knowledge? | 0 | 0.34 | 2020 |
| Towards Summarization for Social Media - Results of the TL;DR Challenge. | 0 | 0.34 | 2019 |
| Unsupervised Text Generation from Structured Data. | 0 | 0.34 | 2019 |
| Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior. | 0 | 0.34 | 2019 |
| Robust Argument Unit Recognition and Classification. | 0 | 0.34 | 2019 |
| Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection | 0 | 0.34 | 2019 |
| SMAPH: A Piggyback Approach for Entity-Linking in Web Queries. | 0 | 0.34 | 2019 |
| SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. | 0 | 0.34 | 2019 |
| Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking. | 0 | 0.34 | 2019 |
| Evaluating neural network explanation methods using hybrid documents and morphological prediction. | 0 | 0.34 | 2018 |
| Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. | 0 | 0.34 | 2018 |
| textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior. | 1 | 0.35 | 2018 |
| News Article Teaser Tweets and How to Generate Them. | 0 | 0.34 | 2018 |
| A Stronger Baseline for Multilingual Word Embeddings. | 1 | 0.35 | 2018 |
| Document Informed Neural Autoregressive Topic Models. | 0 | 0.34 | 2018 |
| Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms. | 2 | 0.37 | 2018 |
| Interpretable Textual Neuron Representations for NLP. | 0 | 0.34 | 2018 |
| Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. | 0 | 0.34 | 2018 |
| End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. | 4 | 0.38 | 2018 |
| Joint Bootstrapping Machines for High Confidence Relation Extraction. | 0 | 0.34 | 2018 |
| Embedding Learning Through Multilingual Concept Induction | 0 | 0.34 | 2018 |
| CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. | 0 | 0.34 | 2018 |
| Joint Semantic Synthesis and Morphological Analysis of the Derived Word. | 3 | 0.42 | 2018 |
| Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable. | 0 | 0.34 | 2018 |
| Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time. | 1 | 0.35 | 2018 |
| Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. | 0 | 0.34 | 2017 |
| Noise Mitigation for Neural Entity Typing and Relation Extraction. | 0 | 0.34 | 2017 |
| Comparative Study of CNN and RNN for Natural Language Processing. | 36 | 1.04 | 2017 |
| Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching. | 0 | 0.34 | 2017 |
| From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042). | 0 | 0.34 | 2017 |
| AutoExtend: Combining Word Embeddings with Semantic Resources. | 2 | 0.47 | 2017 |
