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02/07/2023
What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories
Language Models are the core for almost any Natural Language Processing ...
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12/16/2022
Lessons learned from the evaluation of Spanish Language Models
Given the impact of language models on the field of Natural Language Pro...
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05/24/2022
Principled Paraphrase Generation with Parallel Corpora
Round-trip Machine Translation (MT) is a popular choice for paraphrase g...
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05/24/2022
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
Formal verse poetry imposes strict constraints on the meter and rhyme sc...
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05/03/2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
Recent work has shown that NLP tasks such as Relation Extraction (RE) ca...
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03/25/2022
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
The current workflow for Information Extraction (IE) analysts involves t...
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11/01/2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Large, pre-trained transformer-based language models such as BERT have d...
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09/15/2021
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering
Integrating outside knowledge for reasoning in visio-linguistic tasks su...
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09/08/2021
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Relation extraction systems require large amounts of labeled examples wh...
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05/21/2021
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
Existing models of multilingual sentence embeddings require large parall...
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02/01/2021
Inferring spatial relations from textual descriptions of images
Generating an image from its textual description requires both a certain...
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12/31/2020
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring
Recent research on cross-lingual word embeddings has been dominated by u...
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11/01/2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning
The interaction of conversational systems with users poses an exciting o...
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10/05/2020
Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems
The lack of time-efficient and reliable evaluation methods hamper the de...
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05/04/2020
DoQA – Accessing Domain-Specific FAQs via Conversational QA
The goal of this work is to build conversational Question Answering (QA)...
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04/30/2020
A Call for More Rigor in Unsupervised Cross-lingual Learning
We review motivations, definition, approaches, and methodology for unsup...
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04/16/2020
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
In this paper, we introduce a novel methodology to efficiently construct...
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04/09/2020
Translation Artifacts in Cross-lingual Transfer Learning
Both human and machine translation play a central role in cross-lingual ...
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04/04/2020
Evaluating Multimodal Representations on Visual Semantic Textual Similarity
The combination of visual and textual representations has produced excel...
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03/31/2020
Give your Text Representation Models some Love: the Case for Basque
Word embeddings and pre-trained language models allow to build rich repr...
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02/28/2020
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
Back-translation provides a simple yet effective approach to exploit mon...
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07/24/2019
Bilingual Lexicon Induction through Unsupervised Machine Translation
A recent research line has obtained strong results on bilingual lexicon ...
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06/12/2019
Analyzing the Limitations of Cross-lingual Word Embedding Mappings
Recent research in cross-lingual word embeddings has almost exclusively ...
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06/09/2019
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Word embeddings typically represent different meanings of a word in a si...
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05/10/2019
Survey on Evaluation Methods for Dialogue Systems
In this paper we survey the methods and concepts developed for the evalu...
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02/04/2019
An Effective Approach to Unsupervised Machine Translation
While machine translation has traditionally relied on large amounts of p...
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09/11/2018
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset
In this paper we introduce vSTS, a new dataset for measuring textual sim...
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09/06/2018
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
Following the recent success of word embeddings, it has been argued that...
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09/04/2018
Unsupervised Statistical Machine Translation
While modern machine translation has relied on large parallel corpora, a...
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05/16/2018
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Recent work has managed to learn cross-lingual word embeddings without p...
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05/11/2018
The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD
UKB is an open source collection of programs for performing, among other...
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10/30/2017
Unsupervised Neural Machine Translation
In spite of the recent success of neural machine translation (NMT) in st...
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07/31/2017
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Semantic Textual Similarity (STS) measures the meaning similarity of sen...
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03/15/2016
Evaluating the word-expert approach for Named-Entity Disambiguation
Named Entity Disambiguation (NED) is the task of linking a named-entity ...
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09/12/2015
Improving distant supervision using inference learning
Distant supervision is a widely applied approach to automatic training o...
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03/05/2015