Search Results for author: Adrian Benton

Found 18 papers, 5 papers with code

Updated Headline Generation: Creating Updated Summaries for Evolving News Stories

no code implementations ACL 2022 Sheena Panthaplackel, Adrian Benton, Mark Dredze

We propose the task of updated headline generation, in which a system generates a headline for an updated article, considering both the previous article and headline.

Headline Generation

Weakly Supervised Headline Dependency Parsing

no code implementations25 Jan 2023 Adrian Benton, Tianze Shi, Ozan İrsoy, Igor Malioutov

English news headlines form a register with unique syntactic properties that have been documented in linguistics literature since the 1930s.

Dependency Parsing Sentence

What Makes Data-to-Text Generation Hard for Pretrained Language Models?

no code implementations23 May 2022 Moniba Keymanesh, Adrian Benton, Mark Dredze

Previous work shows that pre-trained language models(PLMs) perform remarkably well on this task after fine-tuning on a significant amount of task-specific training data.

Data-to-Text Generation Few-Shot Learning +1

Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph

no code implementations EMNLP (insights) 2021 Sameer Bansal, Adrian Benton

Nickel and Kiela (2017) present a new method for embedding tree nodes in the Poincare ball, and suggest that these hyperbolic embeddings are far more effective than Euclidean embeddings at embedding nodes in large, hierarchically structured graphs like the WordNet nouns hypernymy tree.

Cross-Register Projection for Headline Part of Speech Tagging

no code implementations EMNLP 2021 Adrian Benton, Hanyang Li, Igor Malioutov

However, the register of English news headlines, "headlinese", is very different from the register of long-form text, causing POS tagging models to underperform on headlines.

Open Information Extraction Part-Of-Speech Tagging +4

Diversity-Aware Batch Active Learning for Dependency Parsing

1 code implementation NAACL 2021 Tianze Shi, Adrian Benton, Igor Malioutov, Ozan İrsoy

While the predictive performance of modern statistical dependency parsers relies heavily on the availability of expensive expert-annotated treebank data, not all annotations contribute equally to the training of the parsers.

Active Learning Dependency Parsing +1

Corrected CBOW Performs as well as Skip-gram

1 code implementation EMNLP (insights) 2021 Ozan İrsoy, Adrian Benton, Karl Stratos

Mikolov et al. (2013a) observed that continuous bag-of-words (CBOW) word embeddings tend to underperform Skip-gram (SG) embeddings, and this finding has been reported in subsequent works.

Word Embeddings

Roll Call Vote Prediction with Knowledge Augmented Models

no code implementations CONLL 2019 Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Am Stent, a

The sources of knowledge we use are news text and Freebase, a manually curated knowledge base.

Learning Representations of Social Media Users

no code implementations2 Dec 2018 Adrian Benton

In this thesis, we begin by showing how user representations can be learned from multiple types of user behavior on social media.

Recommendation Systems

Using Author Embeddings to Improve Tweet Stance Classification

no code implementations WS 2018 Adrian Benton, Mark Dredze

Many social media classification tasks analyze the content of a message, but do not consider the context of the message.

Classification General Classification +1

Deep Dirichlet Multinomial Regression

1 code implementation NAACL 2018 Adrian Benton, Mark Dredze

We present deep Dirichlet Multinomial Regression (dDMR), a generative topic model that simultaneously learns document feature representations and topics.

regression Topic Models

Multi-Task Learning for Mental Health using Social Media Text

no code implementations10 Dec 2017 Adrian Benton, Margaret Mitchell, Dirk Hovy

We introduce initial groundwork for estimating suicide risk and mental health in a deep learning framework.

Gender Prediction Multi-Task Learning

Ethical Research Protocols for Social Media Health Research

no code implementations WS 2017 Adrian Benton, Glen Coppersmith, Mark Dredze

Social media have transformed data-driven research in political science, the social sciences, health, and medicine.

Decision Making Ethics

Deep Generalized Canonical Correlation Analysis

3 code implementations WS 2019 Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora

We present Deep Generalized Canonical Correlation Analysis (DGCCA) -- a method for learning nonlinear transformations of arbitrarily many views of data, such that the resulting transformations are maximally informative of each other.

Representation Learning Stochastic Optimization

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