Search Results for author:
Found 28 papers, 3 papers with code
An empirically grounded expansion of the supersense inventory
We cover the expansion of the already-established supernsense inventory for nouns and verbs, the addition of coarse supersenses for adjectives in absence of a canonical supersense inventory, and super-senses for verbal satellites.
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
Spurred by recent advances in Large Language Models (LLMs), virtual assistants are poised to take a leap forward in terms of their dialogue capabilities.
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries
To address this problem, we handle the task of conversation retrieval based on text summaries of the conversations.
Intelligent Assistant Language Understanding On Device
It has recently become feasible to run personal digital assistants on phones and other personal devices.
Conversational Semantic Parsing for Dialog State Tracking
We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog.
The SemDaX Corpus ― Sense Annotations with Scalable Sense Inventories
The aim of the developed corpus is twofold: i) to assess the reliability of the different sense annotation schemes for Danish measured by qualitative analyses and annotation agreement scores, and ii) to serve as training and test data for machine learning algorithms with the practical purpose of developing sense taggers for Danish.
Exploring Language Variation Across Europe - A Web-based Tool for Computational Sociolinguistics
Language varies not only between countries, but also along regional and socio-demographic lines.
Multilingual Projection for Parsing Truly Low-Resource Languages
We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages.
Creation and use of Language Resources in a Question-Answering eHealth System
It aims at developing a health/disease related information system based on information technology, language technology, and formalized medical knowledge.
