State-of-the-art generalisation research in NLP: a taxonomy and review
The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
Measuring conversational uptake: A case study on student-teacher interactions
In conversation, uptake happens when a speaker builds on the contribution of their
interlocutor by, for example, acknowledging, repeating or reformulating what they have said …
interlocutor by, for example, acknowledging, repeating or reformulating what they have said …
PLANET: Dynamic content planning in autoregressive transformers for long-form text generation
Despite recent progress of pre-trained language models on generating fluent text, existing
methods still suffer from incoherence problems in long-form text generation tasks that …
methods still suffer from incoherence problems in long-form text generation tasks that …
Improving unsupervised dialogue topic segmentation with utterance-pair coherence scoring
L Xing, G Carenini - arXiv preprint arXiv:2106.06719, 2021 - arxiv.org
Dialogue topic segmentation is critical in several dialogue modeling problems. However,
popular unsupervised approaches only exploit surface features in assessing topical …
popular unsupervised approaches only exploit surface features in assessing topical …
Mawseo: Adversarial wiki search poisoning for illicit online promotion
As a prominent instance of vandalism edits, Wiki search poisoning for illicit promotion is a
cybercrime in which the adversary aims at editing Wiki articles to promote illicit businesses …
cybercrime in which the adversary aims at editing Wiki articles to promote illicit businesses …
Revisiting cross-lingual summarization: A corpus-based study and a new benchmark with improved annotation
Most existing cross-lingual summarization (CLS) work constructs CLS corpora by simply and
directly translating pre-annotated summaries from one language to another, which can …
directly translating pre-annotated summaries from one language to another, which can …
BERT-enhanced relational sentence ordering network
In this paper, we introduce a novel BERT-enhanced Relational Sentence Ordering Network
(referred to as BRSON) by leveraging BERT for capturing better dependency relationship …
(referred to as BRSON) by leveraging BERT for capturing better dependency relationship …
Representation learning in discourse parsing: A survey
W Song, LZ Liu - Science China Technological Sciences, 2020 - Springer
Neural network based deep learning methods aim to learn representations of data and have
produced state-of-the-art results in many natural language processing (NLP) tasks …
produced state-of-the-art results in many natural language processing (NLP) tasks …
Evaluating document coherence modeling
While pretrained language models (LMs) have driven impressive gains over morpho-
syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is …
syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is …
D-score: Holistic dialogue evaluation without reference
In artistic gymnastics, difficulty score or D-score is used for judging performance. Starting
from zero, an athlete earns points from different aspects such as composition requirement …
from zero, an athlete earns points from different aspects such as composition requirement …