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Found 31 papers, 2 papers with code
A Language Modelling Approach to Quality Assessment of OCR’ed Historical Text
We hypothesise and evaluate a language model-based approach for scoring the quality of OCR transcriptions in the British Library Newspapers (BLN) corpus parts 1 and 2, to identify the best quality OCR for use in further natural language processing tasks, with a wider view to link individual newspaper reports of crime in nineteenth-century London to the Digital Panopticon—a structured repository of criminal lives.
SNuC: The Sheffield Numbers Spoken Language Corpus
We present SNuC, the first published corpus of spoken alphanumeric identifiers of the sort typically used as serial and part numbers in the manufacturing sector.
Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models' Reasoning with Formal Logic
Formal logic has long been applied to natural language reasoning, but this approach can sometimes lead to conclusions that, while logically entailed, are factually inconsistent with the premises or are not typically inferred by humans.
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
This is done by modeling the differences between the two on categories with both image-level and bounding box annotations, and transferring this information to convert classifiers to detectors for categories without bounding box annotations.
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
This is done by modeling the differences between the two on categories with both image-level and bounding box annotations, and transferring this information to convert classifiers to detectors for categories without bounding box annotations.
A Document Repository for Social Media and Speech Conversations
We present a successfully implemented document repository REST service for flexible SCRUD (search, crate, read, update, delete) storage of social media conversations, using a GATE/TIPSTER-like document object model and providing a query language for document features.
Cross-validating Image Description Datasets and Evaluation Metrics
The task of automatically generating sentential descriptions of image content has become increasingly popular in recent years, resulting in the development of large-scale image description datasets and the proposal of various metrics for evaluating image description generation systems.
What's the Issue Here?: Task-based Evaluation of Reader Comment Summarization Systems
Second, we define a task-based evaluation framework for reader comment summarization that allows summarization systems to be assessed in terms of how well they support users in a time-limited task of identifying issues and characterising opinion on issues in comments.
Bootstrapping Term Extractors for Multiple Languages
Terminology extraction resources are needed for a wide range of human language technology applications, including knowledge management, information extraction, semantic search, cross-language information retrieval and automatic and assisted translation.
Bilingual dictionaries for all EU languages
In this work we present three different methods for cleaning noise from automatically generated bilingual dictionaries: LLR, pivot and translation based approach.
TIMEN: An Open Temporal Expression Normalisation Resource
In this paper, we present TIMEN, a community-driven tool for temporal expression normalisation.
Ranked #1 on
Timex normalization
on TimeBank
Correlation between Similarity Measures for Inter-Language Linked Wikipedia Articles
In this work, we investigate the correlation between similarity measures utilising language-independent and language-dependent features and respective human judgments.
A light way to collect comparable corpora from the Web
In this work we aim to reduce the amount of time and resources spent for tasks 1 and 2.
Collecting and Using Comparable Corpora for Statistical Machine Translation
Lack of sufficient parallel data for many languages and domains is currently one of the major obstacles to further advancement of automated translation.
Assessing the Comparability of News Texts
Comparable news texts are frequently proposed as a potential source of alignable subsentential fragments for use in statistical machine translation systems.
