Results 11 to 20 of about 192,327 (339)

VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution [PDF]

Neural Information Processing Systems, 2023
We introduce VisoGender, a novel dataset for benchmarking gender bias in vision-language models. We focus on occupation-related biases within a hegemonic system of binary gender, inspired by Winograd and Winogender schemas, where each image is associated
S. Hall, F. G. Abrantes, Thomas (Hanwen) Zhu, Grace A. Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk   +5 more
semanticscholar   +1 more source

Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction [PDF]

Conference on Machine Translation, 2019
We describe the design, the evaluation setup, and the results of the 2016 WMT shared task on cross-lingual pronoun prediction.
Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie L. Webber, A. Popescu-Belis   +8 more
semanticscholar   +1 more source

Knowledge-aware Pronoun Coreference Resolution [PDF]

Annual Meeting of the Association for Computational Linguistics, 2019
Resolving pronoun coreference requires knowledge support, especially for particular domains (e.g., medicine). In this paper, we explore how to leverage different types of knowledge to better resolve pronoun coreference with a neural model.
Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu   +3 more
semanticscholar   +1 more source

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues [PDF]

Conference on Empirical Methods in Natural Language Processing, 2019
Grounding a pronoun to a visual object it refers to requires complex reasoning from various information sources, especially in conversational scenarios.
Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang   +4 more
semanticscholar   +1 more source

Incorporating Context and External Knowledge for Pronoun Coreference Resolution [PDF]

North American Chapter of the Association for Computational Linguistics, 2019
Linking pronominal expressions to the correct references requires, in many cases, better analysis of the contextual information and external knowledge.
Hongming Zhang, Yan Song, Yangqiu Song
semanticscholar   +1 more source

Deep Reinforcement Learning for Chinese Zero Pronoun Resolution [PDF]

Annual Meeting of the Association for Computational Linguistics, 2018
Recent neural network models for Chinese zero pronoun resolution gain great performance by capturing semantic information for zero pronouns and candidate antecedents, but tend to be short-sighted, operating solely by making local decisions.
Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang   +4 more
semanticscholar   +1 more source

GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality [PDF]

International Conference on Human Factors in Computing Systems
Voice assistants (VAs) like Siri and Alexa are transforming human-computer interaction; however, they lack awareness of users’ spatiotemporal context, resulting in limited performance and unnatural dialogue.
Jaewook Lee, Jun Wang, Elizabeth Brown, Liam Chu, S. Rodriguez, Jon E. Froehlich   +5 more
semanticscholar   +1 more source

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? [PDF]

Transactions of the Association for Computational Linguistics
Robust, faithful, and harm-free pronoun use for individuals is an important goal for language model development as their use increases, but prior work tends to study only one or two of these characteristics at a time.
Vagrant Gautam, Eileen Bingert, D. Zhu, Anne Lauscher, D. Klakow   +4 more
semanticscholar   +1 more source

Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point [PDF]

Conference on Empirical Methods in Natural Language Processing, 2018
We compare the performance of the APT and AutoPRF metrics for pronoun translation against a manually annotated dataset comprising human judgements as to the correctness of translations of the PROTEST test suite.
Liane Guillou, Christian Hardmeier
semanticscholar   +1 more source

Pronouns and case [PDF]

Lingua, 2002
Subject-object distinctions in pronominal systems of languages like Dutch and English are not similar to nominative-accusative oppositions in languages with morphological case, since pronouns do not show the syntactic effects of morphological case. This does not mean that these pronominal distinctions are only relics of earlier stages with a richer ...
Weerman, F.P., Evers - Vermeul, J.
openaire   +4 more sources