SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationNatural Language InferenceSimilar Papers 제목 키워드 기반
Language Models Are Poor Learners of Directional Inference
We examine LMs' competence of directional predicate entailments by supervised fine-tuning with prompts. Our analysis shows that contrary to their apparent success on standard NLI, LMs show limited ability to learn such d…
Multilingual and Cross-Lingual Graded Lexical Entailment
Grounded in cognitive linguistics, graded lexical entailment (GR-LE) is concerned with fine-grained assertions regarding the directional hierarchical relationships between concepts on a continuous scale. In this paper, w…
Lexical EntailmentUAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment
We investigate the hypothesis that translations can be used to identify cross-lingual lexical entailment. We propose novel methods that leverage parallel corpora, word embeddings, and multilingual lexical resources. Our …
Lexical EntailmentTask 2Word EmbeddingsSHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment
Lexical entailment recognition plays an important role in tasks like Question Answering and Machine Translation. As important branches of lexical entailment, predicting multilingual and cross-lingual lexical entailment (…
Lexical EntailmentMachine TranslationMultilingual Word EmbeddingsQuestion Answering+3Cross-lingual Inference with A Chinese Entailment Graph
Predicate entailment detection is a crucial task for question-answering from text, where previous work has explored unsupervised learning of entailment graphs from typed open relation triples. In this paper, we present t…
Entity TypingQuestion AnsweringRelationRelation Extraction