Competitive Baselines

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Learning to Predict Distributions of Words Across Domains

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Although the distributional hypothesis has been applied successfully in many natural language processing tasks, systems using distributional information have been lim- ited to a single domain because the dis- tribution …...

40581

A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

Authors: nan

Publication: TIPSTER (2016)

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A key challenge for timeline summarization is to generate a concise, yet complete storyline from large collections of news stories. Pre- vious studies in extractive timeline generation are limited in …...

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Multilingual Projection for Parsing Truly Low-Resource Languages

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Publication: TIPSTER (2016)

DOI: nan

AbstractWe propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All …...

27095

A Trio Neural Model for Dynamic Entity Relatedness Ranking

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Publication: TIPSTER (2018)

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AbstractMeasuring entity relatedness is a fundamental task for many natural language processing and information retrieval applications. Prior work often studies entity relatedness in a static setting and unsupervised manner. However, …...

41940

Learning to Abstract for Memory-augmented Conversational Response Generation

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Publication: TIPSTER (2019)

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AbstractNeural generative models for open-domain chit-chat conversations have become an active area of research in recent years. A critical issue with most existing generative models is that the generated responses …...

39593

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter

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Publication: TIPSTER (2020)

DOI: nan

AbstractOpinion prediction on Twitter is challenging due to the transient nature of tweet content and neighbourhood context. In this paper, we model users’ tweet posting behaviour as a temporal point …...

37738

Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts

Authors: nan

Publication: TIPSTER (2020)

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AbstractAccurately diagnosing depression is difficult– requiring time-intensive interviews, assessments, and analysis. Hence, automated methods that can assess linguistic patterns in these interviews could help psychiatric professionals make faster, more informed …...

38432

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction

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Publication: TIPSTER (2020)

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AbstractOpen relation extraction is the task of extracting open-domain relation facts from natural language sentences. Existing works either utilize heuristics or distant-supervised annotations to train a supervised classifier over pre-defined …...

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Genre as Weak Supervision for Cross-lingual Dependency Parsing

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Publication: TIPSTER (2021)

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AbstractRecent work has shown that monolingual masked language models learn to represent data-driven notions of language variation which can be used for domain-targeted training data selection. Dataset genre labels are …...

31713

Robust Integration of Contextual Information for Cross-Target Stance Detection

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Publication: TIPSTER (2023)

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AbstractStance detection deals with identifying an author’s stance towards a target. Most existing stance detection models are limited because they do not consider relevant contextual information which allows for inferring …...

26396

Visually-augmented pretrained language models for NLP tasks without images

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Publication: TIPSTER (2023)

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AbstractAlthough pre-trained language models (PLMs) have shown impressive performance by text-only self-supervised training, they are found lack of visual semantics or commonsense. Existing solutions often rely on explicit images for …...

37638