Papers by Helmer Strik
Negation Detection in Dutch Spoken Human-Computer Conversations (2022.lrec-1)
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| Challenge: | Existing negation detection methods in English are not available. |
| Approach: | They propose to annotate a Dutch dialogue corpus with negation cues and their scopes. |
| Outcome: | The proposed method can detect negation cues and scope in Dutch dialogues with high precision and recall. |
Dedicated Language Resources for Interdisciplinary Research on Multiword Expressions: Best Thing since Sliced Bread (2020.lrec-1)
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| Challenge: | Multiword expressions are challenging for disciplines like NLP, psycholinguistics and second language acquisition due to their more or less fixed character. |
| Approach: | They propose to develop tools and language resources that are crucial for multifaceted research. |
| Outcome: | The proposed tools and language resources are crucial for this kind of multifaceted research. |
BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being (2020.lrec-1)
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Jelte van Waterschoot, Iris Hendrickx, Arif Khan, Esther Klabbers, Marcel de Korte, Helmer Strik, Catia Cucchiarini, Mariët Theune
| Challenge: | Structured interviews are a time-consuming and inefficient way to gather information about people's well-being. |
| Approach: | They propose to build an artificial intelligence agent which asks questions about happiness . they build a prototype of the agent and collect 55 spoken dialogues . |
| Outcome: | The proposed agent collects 55 spoken dialogues and asks users about happiness and well-being. |
Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages (2020.lrec-1)
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Elham Akhlaghi, Branislav Bédi, Fatih Bektaş, Harald Berthelsen, Matthias Butterweck, Cathy Chua, Catia Cucchiarin, Gülşen Eryiğit, Johanna Gerlach, Hanieh Habibi, Neasa Ní Chiaráin, Manny Rayner, Steinþór Steingrímsson, Helmer Strik
| Challenge: | LARA is an open source project that aims to support easy conversion of plain texts into online versions suitable for use by language learners. |
| Approach: | They propose to support easy conversion of plain texts into online versions suitable for use by language learners. |
| Outcome: | The proposed platform is suitable for creating texts in multiple languages via crowdsourcing techniques that can be used for teaching a language via reading and listening. |
Multilingual Transfer Learning for Children Automatic Speech Recognition (2022.lrec-1)
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| Challenge: | Recent advances in automatic speech recognition (ASR) systems have been criticized for high acoustic variability and limited amount of available training data. |
| Approach: | They propose a two-step training strategy that uses multilingual learning followed by language-specific transfer learning to generalize children's speech. |
| Outcome: | The proposed training strategy outperforms single language training and multilingual and transfer learning alone in English. |