Search Results for author:
Found 27 papers, 7 papers with code
Biographically Relevant Tweets – a New Dataset, Linguistic Analysis and Classification Experiments
We present a new dataset comprising tweets for the novel task of detecting biographically relevant utterances.
The Chinese Causative-Passive Homonymy Disambiguation: an adversarial Dataset for NLI and a Probing Task
We find that the model’s performance on CANLI does not correspond to its internal representation of CPH, which is the crucial linguistic ability central to the CANLI dataset.
How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation
While none of the currently available automatic coherence measures are able to assign reliable coherence scores to system summaries across all evaluation metrics, large-scale language models fine-tuned on self-supervised tasks show promising results, as long as fine-tuning takes into account that they need to generalize across different summary lengths.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models.
How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation
Manual evaluation is essential to judge progress on automatic text summarization.
Context in Informational Bias Detection
We find that the best-performing context-inclusive model outperforms the baseline on longer sentences, and sentences from politically centrist articles.
An analysis of language models for metaphor recognition
We conduct a linguistic analysis of recent metaphor recognition systems, all of which are based on language models.
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Automatic sentence summarization produces a shorter version of a sentence, while preserving its most important information.
Dataset Reproducibility and IR Methods in Timeline Summarization
We therefore construct event-specific corpora from a large static background corpus, the newsroom dataset, using differing, relatively simple IR methods based on raw text alone.
Abstractive Timeline Summarization
In addition, we present the first abstractive oracle experiments for TLS.
A Temporally Sensitive Submodularity Framework for Timeline Summarization
Timeline summarization (TLS) creates an overview of long-running events via dated daily summaries for the most important dates.
Unrestricted Bridging Resolution
The second stage, bridging antecedent selection, finds the antecedents for all predicted bridging anaphors.
Fine Grained Citation Span for References in Wikipedia
For a Wikipedia article, determining the \emph{citation span} of a citation, i. e. what content is covered by a citation, is important as it helps decide for which content citations are still missing.
Improving ROUGE for Timeline Summarization
Current evaluation metrics for timeline summarization either ignore the temporal aspect of the task or require strict date matching.
Automatic Extraction of News Values from Headline Text
Headlines play a crucial role in attracting audiences{'} attention to online artefacts (e. g. news articles, videos, blogs).
Finding News Citations for Wikipedia
An important editing policy in Wikipedia is to provide citations for added statements in Wikipedia pages, where statements can be arbitrary pieces of text, ranging from a sentence to a paragraph.
Automated News Suggestions for Populating Wikipedia Entity Pages
We propose a two-stage supervised approach for suggesting news articles to entity pages for a given state of Wikipedia.
Designing and Evaluating a Reliable Corpus of Web Genres via Crowd-Sourcing
In this paper, we present the first web genre corpus which is reliably annotated.
