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Found 34 papers, 9 papers with code
A surprisal–duration trade-off across and within the world’s languages
We thus conclude that there is strong evidence of a surprisal–duration trade-off in operation, both across and within the world’s languages.
Parsing Argumentative Structure in English-as-Foreign-Language Essays
Two sentence encoders are employed, and we observed that non-fine-tuning models generally performed better when using Sentence-BERT as opposed to BERT encoder.
Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin
The best of our methods outperforms the current SoA in BLC detection, with an accuracy of English BLC detection of 75. 0%, and of Mandarin BLC detection 80. 7% on a test set.
Problem-solving Recognition in Scientific Text
As far back as Aristotle, problems and solutions have been recognised as a core pattern of thought, and in particular of the scientific method.
ChainNet: Structured Metaphor and Metonymy in WordNet
The senses of a word exhibit rich internal structure.
Semantic Map-based Generation of Navigation Instructions
In this paper, we propose a new approach to navigation instruction generation by framing the problem as an image captioning task using semantic maps as visual input.
The Ethics of Automating Legal Actors
The introduction of large public legal datasets has brought about a renaissance in legal NLP.
Homonymy Information for English WordNet
The outcome of our work is a high-quality homonymy annotation layer for Princeton WordNet, which we release.
Metaphorical Polysemy Detection: Conventional Metaphor meets Word Sense Disambiguation
Additionally, when paired with a WSD model, our approach outperforms a state-of-the-art metaphor detection model at identifying conventional metaphors in text (. 659 F1 compared to . 626).
On the Role of Negative Precedent in Legal Outcome Prediction
In contrast, we turn our focus to negative outcomes here, and introduce a new task of negative outcome prediction.
A surprisal--duration trade-off across and within the world's languages
We thus conclude that there is strong evidence of a surprisal--duration trade-off in operation, both across and within the world's languages.
On Homophony and Rényi Entropy
Homophony's widespread presence in natural languages is a controversial topic.
Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
Argumentative structure prediction aims to establish links between textual units and label the relationship between them, forming a structured representation for a given input text.
End-to-End Argument Mining as Biaffine Dependency Parsing
Non-neural approaches to argument mining (AM) are often pipelined and require heavy feature-engineering.
A Corpus of Very Short Scientific Summaries
We present a new summarisation task, taking scientific articles and producing journal table-of-contents entries in the chemistry domain.
Metaphor Detection using Context and Concreteness
We report the results of our system on the Metaphor Detection Shared Task at the Second Workshop on Figurative Language Processing 2020.
TIARA: A Tool for Annotating Discourse Relations and Sentence Reordering
A separate tree view allows them to review their analysis in terms of the overall discourse structure.
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
An alternative approach is Counterfactual Data Augmentation (CDA), in which a corpus is duplicated and augmented to remove bias, e. g. by swapping all inherently-gendered words in the copy.
Variable Typing: Assigning Meaning to Variables in Mathematical Text
Our results show that the best performing MIR models make use of our typed index, compared to a formula index only containing raw symbols, thereby demonstrating the usefulness of variable typing.
Annotation of argument structure in Japanese legal documents
In particular, we utilize the hierarchical argument structure of the judgment documents.
A Proposition-Based Abstractive Summariser
It is a further development of an existing summariser that has an incremental, proposition-based content selection process but lacks a natural language (NL) generator for the final output.
Mathematical Information Retrieval based on Type Embeddings and Query Expansion
We present an approach to mathematical information retrieval (MIR) that exploits a special kind of technical terminology, referred to as a mathematical type.
Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction
Active learning (AL) is often used in corpus construction (CC) for selecting {``}informative{''} documents for annotation.
