Natural Language Processing · TEE · papers
Q2b · Lesk versus Walker and bank disambiguation
2023-12-01 · final · recovered AI paper
Previous examination · complete worked answers
Answer
The Walker approach uses thesaurus categories as semantic evidence. Associate each candidate sense with a category. Count or weight context words that support that category. Choose the largest total.
\operatorname{score}(s)=\sum_{w\in C} I(w,\operatorname{category}(s))LaTeX:
I=1 if the supplied category mapping says the context word supports the sense, otherwise LaTeX:
I=0. The summation symbol means add all those contributions. Weighted questions may replace 1 with a supplied weight. Category membership must be supplied or justified; it is not guessed from word frequency.
Question. Disambiguate bank using Walker scoring. Context words are money, interest, annum, fetch. The finance category supports money, interest and annum; the location category supports none of these words.
Given
Two categories: Finance and Location. Each supported word contributes 1.
To find
The two totals and selected bank sense.
Formula and why it applies
Sum the category indicators for each sense.
Step 1. Make a contribution table
| Word | Finance | Location |
|---|---|---|
| money | 1 | 0 |
| interest | 1 | 0 |
| annum | 1 | 0 |
| fetch | 0 | 0 |
Step 2. Add Finance
LaTeX:
1+1+1+0=3.
Step 3. Add Location
LaTeX:
0+0+0+0=0.
Step 4. Select
3 > 0, so select the financial institution.
Answer. Finance, with score 3 versus 0.
Question. Use Walker scoring for “The fisherman caught bass beside the lake.” Context {fisherman,caught,lake}. The Fish category contains all three clues; the Music category contains none.
Given
Fish and Music senses, binary category membership given.
To find
The correct bass sense.
Formula and why it applies
Score = sum of context-category matches.
Step 1. Record Fish matches
fisherman → 1; caught → 1; lake → 1.
Step 2. Add Fish score
LaTeX:
1+1+1=3.
Step 3. Add Music score
LaTeX:
0+0+0=0.
Step 4. Choose
Fish has the larger score.
Answer. Bass refers to a fish.
Question. Score “The player used a bat in the match.” Context {player,match}. Sport supports both words with weights 2 and 1; Animal supports neither. Use the supplied weighted Walker scheme.
Given
Sport weights {player:2, match:1}; Animal weights {player:0, match:0}.
To find
Weighted sense scores.
Formula and why it applies
Use the sum of supplied weights, not an unweighted count, because the question explicitly gives weights.
Step 1. Sport contribution of player
Add 2.
Step 2. Sport contribution of match
Add 1. Sport total = 2 + 1 = 3.
Step 3. Animal total
0 + 0 = 0.
Step 4. Compare
3 > 0 selects the sporting implement.
Answer. Bat is the sports implement.
Walker: dictionary ke exact words nahi, context kis topic/category ko support karta hai woh count.
| Aspect | Lesk | Walker/thesaurus method |
|---|---|---|
| Evidence | Overlap of context with dictionary glosses | Context-word membership in semantic subject categories |
| Score | Number of shared normalized words | Number/weight of context words supporting each sense category |
| Dependency | Gloss definitions and preprocessing | Thesaurus categories and their assignments |
Given
Context is the printed sentence. No thesaurus category list is supplied.
To find
State the sense and give a transparent illustrative score.
Formula: which one and why
Declare the categories first; count only declared evidence. A numerical Walker score is not uniquely determined without the thesaurus assignments.
Step 1. Choose explicit illustrative categories
Assume money and interest belong to FINANCE; river, water and shore belong to RIVER. Ignore all other tokens as unassigned.
Step 2. Count support
| Candidate bank sense | Matching clues | Score |
|---|---|---|
| Financial institution | money, interest | 2 |
| River edge | none | 0 |
Step 3. Compare
2 > 0, so choose the financial-institution sense under this stated assignment.
Final answer
bank = financial institution. The score 2 versus 0 is conditional on the declared illustrative thesaurus, not supplied numerical data.
Source / convention note. The original gives a sentence but no thesaurus/category mapping, so a unique numerical score cannot be recovered.