Контекстуалды көріністер
Related Papers
Bilingual Lexicon Extraction from Comparable Corpora by Combining Contextual Representations (Extraction de lexiques bilingues à partir de corpus comparables par combinaison de représentations contextuelles) [in French]
Bilingual Lexicon Extraction from Comparable Corpora by Combining Contextual Repre- sentations Word’s context characterisation constitute the heart of most methods of bilingual lexicon extraction from comparable corpora. In this article, …...
Eye4Ref: A Multimodal Eye Movement Dataset of Referentially Complex Situations
AbstractEye4Ref is a rich multimodal dataset of eye-movement recordings collected from referentially complex situated settings where the linguistic utterances and their visual referential world were available to the listener. It …...
Improving Compositional Generalization in Semantic Parsing
AbstractGeneralization of models to out-of-distribution (OOD) data has captured tremendous attention recently. Specifically, compositional generalization, i.e., whether a model generalizes to new structures built of components observed during training, has …...
Intrinsic Probing through Dimension Selection
AbstractMost modern NLP systems make use of pre-trained contextual representations that attain astonishingly high performance on a variety of tasks. Such high performance should not be possible unless some form …...
TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text
AbstractThis paper describes the emphasis selection system of the team TextLearner for SemEval 2020 Task 10: Emphasis Selection For Written Text in Visual Media. The system aims to learn the …...
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction
Bilingual Lexicon Induction (BLI) aims to map words in one language to their transla- tions in another, and are typically through learning linear projections to align monolin- gual word representation …...
Contrastive Code Representation Learning
AbstractRecent work learns contextual representations of source code by reconstructing tokens from their context. For downstream semantic understanding tasks like code clone detection, these representations should ideally capture program functionality. …...
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages
AbstractHuman languages are full of metaphorical expressions. Metaphors help people understand the world by connecting new concepts and domains to more familiar ones. Large pre-trained language models (PLMs) are therefore …...
3D-EX: A Unified Dataset of Definitions and Dictionary Examples
AbstractDefinitions are a fundamental building block in lexicography, linguistics and computational semantics. In NLP, they have been used for retrofitting word embeddings or augmenting contextual representations in language models. However, …...
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers
AbstractRecent advancements in pre-trained language models (PLMs) have demonstrated that these models possess some degree of syntactic awareness. To leverage this knowledge, we propose a novel chart-based method for extracting …...
ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy Analysis
AbstractThis paper describes our system used in the SemEval-2023 Task 9 Multilingual Tweet Intimacy Analysis. There are two key challenges in this task: the complexity of multilingual and zero-shot cross-lingual …...