626 results on '"Timothy Baldwin"'
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52. What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text.
53. One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia.
54. The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature.
55. The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents.
56. Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation.
57. Evaluating Debiasing Techniques for Intersectional Biases.
58. KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning.
59. IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization.
60. 'Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP.
61. Fairness-aware Class Imbalanced Learning.
62. Automatic Resolution of Domain Name Disputes.
63. Semi-automatic Triage of Requests for Free Legal Assistance.
64. Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.
65. Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.
66. Discourse Probing of Pretrained Language Models.
67. Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism.
68. Diverse Adversaries for Mitigating Bias in Training.
69. On the (In)Effectiveness of Images for Text Classification.
70. Top-down Discourse Parsing via Sequence Labelling.
71. ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain.
72. Decoupling Adversarial Training for Fair NLP.
73. Evaluating the Efficacy of Summarization Evaluation across Languages.
74. A Simple yet Effective Method for Sentence Ordering.
75. ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents.
76. Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research.
77. Liputan6: A Large-scale Indonesian Dataset for Text Summarization.
78. WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking.
79. IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP.
80. Target Word Masking for Location Metonymy Resolution.
81. Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes.
82. Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity.
83. Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents.
84. Learning from Unlabelled Data for Clinical Semantic Textual Similarity.
85. Online Tutoring to Support Programming Exercises.
86. Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?
87. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics.
88. ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents.
89. Deep Ordinal Regression for Pledge Specificity Prediction.
90. Reevaluating Argument Component Extraction in Low Resource Settings.
91. Target Based Speech Act Classification in Political Campaign Text.
92. Place Questions and Human-Generated Answers: A Data Analysis Approach.
93. UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution.
94. Contextualization of Morphological Inflection.
95. Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation.
96. Semi-supervised Stochastic Multi-Domain Learning using Variational Inference.
97. Differences in language use: Insights from job and talent search.
98. Improved Document Modelling with a Neural Discourse Parser.
99. Detecting Chemical Reactions in Patents.
100. Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP.
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