activity
20142023
most citedSimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation

38 citations · 238 across the 42 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CL2022

Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems

Songbo Hu, Ivan Vulić, Fangyu Liu +1

End-to-end (E2E) task-oriented dialogue (ToD) systems are prone to fall into the so-called "likelihood trap", resulting in generated responses which are dull, repetitive, and often…

cs.CL2022★ 1 cited

MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue

Nikita Moghe, Evgeniia Razumovskaia, Liane Guillou +3

Task-oriented dialogue (TOD) systems have been widely deployed in many industries as they deliver more efficient customer support. These systems are typically constructed for a sin…

cs.CL2022★ 8 cited

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking

Yaoyiran Li, Fangyu Liu, Ivan Vulić +1

Bilingual lexicon induction (BLI) with limited bilingual supervision is a crucial yet challenging task in multilingual NLP. Current state-of-the-art BLI methods rely on the inducti…

cs.CL2022★ 1 cited

Can Pretrained Language Models (Yet) Reason Deductively?

Zhangdie Yuan, Songbo Hu, Ivan Vulić +2

Acquiring factual knowledge with Pretrained Language Models (PLMs) has attracted increasing attention, showing promising performance in many knowledge-intensive tasks. Their good p…

cs.CL2022★ 4 cited

Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders

Ivan Vulić, Goran Glavaš, Fangyu Liu +3

Pretrained multilingual language models (LMs) can be successfully transformed into multilingual sentence encoders (SEs; e.g., LaBSE, xMPNet) via additional fine-tuning or model dis…

cs.CL2022★ 27 cited

Improving Word Translation via Two-Stage Contrastive Learning

Yaoyiran Li, Fangyu Liu, Nigel Collier +2

Word translation or bilingual lexicon induction (BLI) is a key cross-lingual task, aiming to bridge the lexical gap between different languages. In this work, we propose a robust a…

cs.CL2022★ 1 cited

Delving Deeper into Cross-lingual Visual Question Answering

Chen Liu, Jonas Pfeiffer, Anna Korhonen +2

Visual question answering (VQA) is one of the crucial vision-and-language tasks. Yet, existing VQA research has mostly focused on the English language, due to a lack of suitable ev…

cs.CL2022★ 24 cited

Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation

Olga Majewska, Evgeniia Razumovskaia, Edoardo Maria Ponti +2

Multilingual task-oriented dialogue (ToD) facilitates access to services and information for many (communities of) speakers. Nevertheless, the potential of this technology is not f…