Similarity

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A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWe aim to shed light on the strengths and weaknesses of the newly introduced neural machine translation paradigm. To that end, we conduct a multifaceted evaluation in which we compare …...

42462

ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractReasoning is a very important topic and has many important applications in the field of natural language processing. Semantic Evaluation (SemEval) 2018 Task 12 “The Argument Reasoning Comprehension” committed to …...

25943

Is Similarity Visually Grounded? Computational Model of Similarity for the Estonian language

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractResearchers in Computational Linguistics build models of similarity and test them against human judgments. Although there are many empirical studies of the computational models of similarity for the English language, …...

19753

Robust Representation Learning of Biomedical Names

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractBiomedical concepts are often mentioned in medical documents under different name variations (synonyms). This mismatch between surface forms is problematic, resulting in difficulties pertaining to learning effective representations. Consequently, this …...

39643

CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractKnowledge-grounded dialog systems need to incorporate smooth transitions among knowledge selected for generating responses, to ensure that dialog flows naturally. For document-grounded dialog systems, the inter- and intra-document knowledge relations …...

5175

Unsupervised Lexical Substitution with Decontextualised Embeddings

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe propose a new unsupervised method for lexical substitution using pre-trained language models. Compared to previous approaches that use the generative capability of language models to predict substitutes, our method …...

4852

How Do In-Context Examples Affect Compositional Generalization?

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractCompositional generalization–understanding unseen combinations of seen primitives–is an essential reasoning capability in human intelligence. The AI community mainly studies this capability by fine-tuning neural networks on lots of training samples, …...

38070