Sökning: "cross-lingual learning"

Hittade 3 avhandlingar innehållade orden cross-lingual learning.

1. 1. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

   Författare :Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

   Sammanfattning : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. LÄS MER

3. 2. Vector Representations of Idioms in Data-Driven Chatbots for Robust Assistance

   Författare :Oluwatosin Adewumi; Marcus Liwicki; Foteini Liwicki; Taiwo Kolajo; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; conversational system; chatbot; vectors; data; deep models; Maskininlärning; Machine Learning;

   Sammanfattning : This thesis presents resources capable of enhancing solutions of some Natural Language Processing (NLP) tasks, demonstrates the learning of abstractions by deep models through cross-lingual transferability, and shows how deep learning models trained on idioms can enhance open-domain conversational systems. The challenges of open-domain conversational systems are many and include bland repetitive utterances, lack of utterance diversity, lack of training data for low-resource languages, shallow world-knowledge and non-empathetic responses, among others. LÄS MER

4. 3. Contributions to Shallow Discourse Parsing : To English and beyond

   Författare :Murathan Kurfalı; Robert Östling; Mats Wirén; Christian Hardmeier; Amir Zeldes; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; discourse; discourse relations; shallow discourse parsing; transfer learning; multilinguality; low-resource nlp; Linguistics; lingvistik;

   Sammanfattning : Discourse is a coherent set of sentences where the sequential reading of the sentences yields a sense of accumulation and readers can easily follow why one sentence follows another. A text that lacks coherence will most certainly fail to communicate its intended message and leave the reader puzzled as to why the sentences are presented together. LÄS MER