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TitleStatusHype
Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models—0
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression—0
A Joint Model for Answer Sentence Ranking and Answer Extraction—0
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer—0
A Categorical Compositional Distributional Modelling for the Language of Life—0
Causal BERT : Language models for causality detection between events expressed in text—0
Evaluating Neural Word Representations in Tensor-Based Compositional Settings—0
Evaluating Neural Model Robustness for Machine Comprehension—0
Causal Augmentation for Causal Sentence Classification—0
A Practical Toolkit for Multilingual Question and Answer Generation—0
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks—0
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset—0
AppTek’s Submission to the IWSLT 2022 Isometric Spoken Language Translation Task—0
A Japanese Word Segmentation Proposal—0
Evaluating Models of Computation and Storage in Human Sentence Processing—0
Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark—0
Evaluating Metrics for Bias in Word Embeddings—0
Evaluating Large language models on Understanding Korean indirect Speech acts—0
CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection—0
AppTek's Submission to the IWSLT 2022 Isometric Spoken Language Translation Task—0
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text—0
Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics—0
Evaluating Gender Bias Transfer from Film Data—0
Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English—0
Category-Based Strategy-Driven Question Generator for Visual Dialogue—0
Approximation Strategies for Multi-Structure Sentence Compression—0
A Japanese Word Dependency Corpus—0
Evaluating Gender Bias in Large Language Models—0
Evaluating Gender Bias in Hindi-English Machine Translation—0
Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality—0
Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation—0
Evaluating Document Coherence Modelling—0
Evaluating Discourse Phenomena in Neural Machine Translation—0
Categorial Grammar Induction as a Compositionality Measure for Understanding the Structure of Emergent Languages—0
Approximating solution structure of the Weighted Sentence Alignment problem—0
Evaluating Conjunction Disambiguation on English-to-German and French-to-German WMT 2019 Translation Hypotheses—0
CATE: CAusality Tree Extractor from Natural Language Requirements—0
Evaluating Compositionality of Sentence Representation Models—0
Positional Artefacts Propagate Through Masked Language Model Embeddings—0
CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisions—0
Evaluating (and Improving) Sentence Alignment under Noisy Conditions—0
Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions—0
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry—0
A Japanese-Chinese Parallel Corpus Using Crowdsourcing for Web Mining—0
Adaptative Bilingual Aligning Using Multilingual Sentence Embedding—0
A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings—0
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples—0
Eval all, trust a few, do wrong to none: Comparing sentence generation models—0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement—0
Etat de l’art en compression multi-phrases pour la synthèse de documents (State-of-the-art of multi-sentence compression for document summarization)—0
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